Spaces:
Sleeping
Sleeping
add HF token
Browse files
app.py
CHANGED
|
@@ -1,3 +1,5 @@
|
|
|
|
|
|
|
|
| 1 |
import gradio as gr
|
| 2 |
from huggingface_hub import InferenceClient
|
| 3 |
|
|
@@ -7,10 +9,12 @@ from transformers import AutoTokenizer
|
|
| 7 |
from model.modeling_llamask import LlamaskForCausalLM
|
| 8 |
from model.tokenizer_utils import generate_custom_mask, prepare_tokenizer
|
| 9 |
|
|
|
|
|
|
|
| 10 |
model_id = "meta-llama/Meta-Llama-3.1-8B-Instruct"
|
| 11 |
device = 'cpu'
|
| 12 |
|
| 13 |
-
model = LlamaskForCausalLM.from_pretrained(model_id, torch_dtype= torch.bfloat16)
|
| 14 |
model = model.to(device)
|
| 15 |
tokenizer = AutoTokenizer.from_pretrained(model_id, padding_side="left")
|
| 16 |
|
|
|
|
| 1 |
+
import os
|
| 2 |
+
|
| 3 |
import gradio as gr
|
| 4 |
from huggingface_hub import InferenceClient
|
| 5 |
|
|
|
|
| 9 |
from model.modeling_llamask import LlamaskForCausalLM
|
| 10 |
from model.tokenizer_utils import generate_custom_mask, prepare_tokenizer
|
| 11 |
|
| 12 |
+
|
| 13 |
+
access_token = os.getenv("HF_TOKEN")
|
| 14 |
model_id = "meta-llama/Meta-Llama-3.1-8B-Instruct"
|
| 15 |
device = 'cpu'
|
| 16 |
|
| 17 |
+
model = LlamaskForCausalLM.from_pretrained(model_id, torch_dtype= torch.bfloat16, access_token=access_token)
|
| 18 |
model = model.to(device)
|
| 19 |
tokenizer = AutoTokenizer.from_pretrained(model_id, padding_side="left")
|
| 20 |
|
model/__pycache__/modeling_llamask.cpython-310.pyc
CHANGED
|
Binary files a/model/__pycache__/modeling_llamask.cpython-310.pyc and b/model/__pycache__/modeling_llamask.cpython-310.pyc differ
|
|
|
model/__pycache__/tokenizer_utils.cpython-310.pyc
ADDED
|
Binary file (2.36 kB). View file
|
|
|