Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -3,10 +3,11 @@ import spaces
|
|
| 3 |
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 4 |
import torch
|
| 5 |
|
|
|
|
|
|
|
|
|
|
| 6 |
@spaces.GPU
|
| 7 |
def respond(message):
|
| 8 |
-
tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct", trust_remote_code=True)
|
| 9 |
-
model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct", trust_remote_code=True, torch_dtype=torch.bfloat16).cuda()
|
| 10 |
inputs = tokenizer.apply_chat_template(message, add_generation_prompt=True, return_tensors="pt").to(model.device)
|
| 11 |
outputs = model.generate(inputs, max_new_tokens=512, do_sample=False, top_k=50, top_p=0.95, num_return_sequences=1, eos_token_id=tokenizer.eos_token_id)
|
| 12 |
return outputs
|
|
|
|
| 3 |
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 4 |
import torch
|
| 5 |
|
| 6 |
+
tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct", trust_remote_code=True)
|
| 7 |
+
model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct", trust_remote_code=True, torch_dtype=torch.bfloat16).cuda()
|
| 8 |
+
|
| 9 |
@spaces.GPU
|
| 10 |
def respond(message):
|
|
|
|
|
|
|
| 11 |
inputs = tokenizer.apply_chat_template(message, add_generation_prompt=True, return_tensors="pt").to(model.device)
|
| 12 |
outputs = model.generate(inputs, max_new_tokens=512, do_sample=False, top_k=50, top_p=0.95, num_return_sequences=1, eos_token_id=tokenizer.eos_token_id)
|
| 13 |
return outputs
|