Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -5,14 +5,15 @@ import torch
|
|
| 5 |
import torch.nn.functional as F
|
| 6 |
import os
|
| 7 |
|
| 8 |
-
# 📁
|
| 9 |
CACHE_DIR = "/data"
|
| 10 |
os.environ["HF_HOME"] = CACHE_DIR
|
| 11 |
os.environ["TRANSFORMERS_CACHE"] = CACHE_DIR
|
|
|
|
| 12 |
|
| 13 |
app = FastAPI()
|
| 14 |
|
| 15 |
-
# ✅ Modèle avec custom code
|
| 16 |
MODEL_NAME = "nomic-ai/nomic-embed-text-v1"
|
| 17 |
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, cache_dir=CACHE_DIR, trust_remote_code=True)
|
| 18 |
model = AutoModel.from_pretrained(MODEL_NAME, cache_dir=CACHE_DIR, trust_remote_code=True)
|
|
|
|
| 5 |
import torch.nn.functional as F
|
| 6 |
import os
|
| 7 |
|
| 8 |
+
# 📁 Rediriger les caches HF vers un dossier autorisé
|
| 9 |
CACHE_DIR = "/data"
|
| 10 |
os.environ["HF_HOME"] = CACHE_DIR
|
| 11 |
os.environ["TRANSFORMERS_CACHE"] = CACHE_DIR
|
| 12 |
+
os.environ["HF_MODULES_CACHE"] = CACHE_DIR # ✅ <--- ajoute cette ligne
|
| 13 |
|
| 14 |
app = FastAPI()
|
| 15 |
|
| 16 |
+
# ✅ Modèle avec custom code
|
| 17 |
MODEL_NAME = "nomic-ai/nomic-embed-text-v1"
|
| 18 |
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, cache_dir=CACHE_DIR, trust_remote_code=True)
|
| 19 |
model = AutoModel.from_pretrained(MODEL_NAME, cache_dir=CACHE_DIR, trust_remote_code=True)
|