Add more models

app.py

@@ -1,23 +1,30 @@
 from transformers import AutoTokenizer
 import gradio as gr
 
+
 def formatarr(input):
    return "["+",".join(str(x) for x in input)+"]"
 
+
 def tokenize(input_text):
     llama_tokens = llama_tokenizer(input_text, add_special_tokens=True)["input_ids"]
     llama3_tokens = llama3_tokenizer(input_text, add_special_tokens=True)["input_ids"]
     mistral_tokens = mistral_tokenizer(input_text, add_special_tokens=True)["input_ids"]
     gpt2_tokens = gpt2_tokenizer(input_text, add_special_tokens=True)["input_ids"]
-    gpt_neox_tokens = gpt_neox_tokenizer(input_text, add_special_tokens=True)["input_ids"]    
-    falcon_tokens = falcon_tokenizer(input_text, add_special_tokens=True)["input_ids"]    
-    phi2_tokens = phi2_tokenizer(input_text, add_special_tokens=True)["input_ids"]    
-    phi3_tokens = phi3_tokenizer(input_text, add_special_tokens=True)["input_ids"]    
-    t5_tokens = t5_tokenizer(input_text, add_special_tokens=True)["input_ids"]    
-    gemma_tokens = gemma_tokenizer(input_text, add_special_tokens=True)["input_ids"]    
-    command_r_tokens = command_r_tokenizer(input_text, add_special_tokens=True)["input_ids"]    
-    qwen_tokens = qwen_tokenizer(input_text, add_special_tokens=True)["input_ids"]    
+    gpt_neox_tokens = gpt_neox_tokenizer(input_text, add_special_tokens=True)["input_ids"]
+    falcon_tokens = falcon_tokenizer(input_text, add_special_tokens=True)["input_ids"]
+    phi2_tokens = phi2_tokenizer(input_text, add_special_tokens=True)["input_ids"]
+    phi3_tokens = phi3_tokenizer(input_text, add_special_tokens=True)["input_ids"]
+    t5_tokens = t5_tokenizer(input_text, add_special_tokens=True)["input_ids"]
+    gemma_tokens = gemma_tokenizer(input_text, add_special_tokens=True)["input_ids"]
+    command_r_tokens = command_r_tokenizer(input_text, add_special_tokens=True)["input_ids"]
+    qwen_tokens = qwen_tokenizer(input_text, add_special_tokens=True)["input_ids"]
     codeqwen_tokens = codeqwen_tokenizer(input_text, add_special_tokens=True)["input_ids"]
+    rwkv4_tokens = rwkv4_tokenizer(input_text, add_special_tokens=True)["input_ids"]
+    rwkv5_tokens = rwkv5_tokenizer(input_text, add_special_tokens=True)["input_ids"]
+    deepseek_tokens = deepseek_tokenizer(input_text, add_special_tokens=True)["input_ids"]
+    internlm_tokens = internlm_tokenizer(input_text, add_special_tokens=True)["input_ids"]
+    internlm2_tokens = internlm2_tokenizer(input_text, add_special_tokens=True)["input_ids"]
     
 
     results = {
@@ -34,6 +41,11 @@ def tokenize(input_text):
         "Command-R": command_r_tokens,
         "Qwen/Qwen1.5": qwen_tokens,
         "CodeQwen": codeqwen_tokens,
+        "RWKV-v4": rwkv4_tokens,
+        "RWKV-v5/RWKV-v6": rwkv5_tokens,
+        "DeepSeek": deepseek_tokens,
+        "InternLM": internlm_tokens,
+        "InternLM2": internlm2_tokens
     }
 
     toks = ""    
@@ -43,47 +55,26 @@ def tokenize(input_text):
 
 
 if __name__ == "__main__":
-    llama_tokenizer = AutoTokenizer.from_pretrained(
-        "TheBloke/Llama-2-7B-fp16"
-    )
-    llama3_tokenizer = AutoTokenizer.from_pretrained(
-        "unsloth/llama-3-8b"
-    )
-    mistral_tokenizer = AutoTokenizer.from_pretrained(
-        "mistral-community/Mistral-7B-v0.2"
-    )
-    gpt2_tokenizer = AutoTokenizer.from_pretrained(
-        "gpt2"
-    )
-    gpt_neox_tokenizer = AutoTokenizer.from_pretrained(
-        "EleutherAI/gpt-neox-20b"
-    )
-    falcon_tokenizer = AutoTokenizer.from_pretrained(
-        "tiiuae/falcon-7b"
-    )
-    phi2_tokenizer = AutoTokenizer.from_pretrained(
-        "microsoft/phi-2"
-    )
-    phi3_tokenizer = AutoTokenizer.from_pretrained(
-        "microsoft/Phi-3-mini-4k-instruct"
-    )
-    t5_tokenizer = AutoTokenizer.from_pretrained(
-        "google/flan-t5-xxl"
-    )
-    gemma_tokenizer = AutoTokenizer.from_pretrained(
-        "alpindale/gemma-2b"
-    )
-    command_r_tokenizer = AutoTokenizer.from_pretrained(
-        "CohereForAI/c4ai-command-r-plus"
-    )
-    qwen_tokenizer = AutoTokenizer.from_pretrained(
-        "Qwen/Qwen1.5-7B"
-    )
-    codeqwen_tokenizer = AutoTokenizer.from_pretrained(
-        "Qwen/CodeQwen1.5-7B"
-    )
+    llama_tokenizer = AutoTokenizer.from_pretrained("TheBloke/Llama-2-7B-fp16")
+    llama3_tokenizer = AutoTokenizer.from_pretrained("unsloth/llama-3-8b")
+    mistral_tokenizer = AutoTokenizer.from_pretrained("mistral-community/Mistral-7B-v0.2")
+    gpt2_tokenizer = AutoTokenizer.from_pretrained("openai-community/gpt2")
+    gpt_neox_tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neox-20b")
+    falcon_tokenizer = AutoTokenizer.from_pretrained("tiiuae/falcon-7b")
+    phi2_tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2")
+    phi3_tokenizer = AutoTokenizer.from_pretrained("microsoft/Phi-3-mini-4k-instruct")
+    t5_tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-xxl")
+    gemma_tokenizer = AutoTokenizer.from_pretrained("alpindale/gemma-2b")
+    command_r_tokenizer = AutoTokenizer.from_pretrained("CohereForAI/c4ai-command-r-plus")
+    qwen_tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen1.5-7B")
+    codeqwen_tokenizer = AutoTokenizer.from_pretrained("Qwen/CodeQwen1.5-7B")
+    rwkv4_tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-4-14b-pile", trust_remote_code=True)
+    rwkv5_tokenizer = AutoTokenizer.from_pretrained("RWKV/v5-EagleX-v2-7B-HF", trust_remote_code=True)
+    deepseek_tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/DeepSeek-V2", trust_remote_code=True)
+    internlm_tokenizer = AutoTokenizer.from_pretrained("internlm/internlm-20b", trust_remote_code=True)
+    internlm2_tokenizer = AutoTokenizer.from_pretrained("internlm/internlm2-20b", trust_remote_code=True)
 
     iface = gr.Interface(
-        fn=tokenize, inputs=gr.Textbox(label="Input Text", lines=12), outputs="text"
+        fn=tokenize, inputs=gr.Textbox(label="Input Text", lines=19), outputs="text"
     )
     iface.launch()