还是路径的修改
Browse files
app.py
CHANGED
|
@@ -4,7 +4,17 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification
|
|
| 4 |
|
| 5 |
# === 关键配置 ===
|
| 6 |
# 这里直接指向您刚才上传好的模型仓库
|
| 7 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
|
| 9 |
print(f"正在加载模型: {MODEL_REPO} ...")
|
| 10 |
try:
|
|
|
|
| 4 |
|
| 5 |
# === 关键配置 ===
|
| 6 |
# 这里直接指向您刚才上传好的模型仓库
|
| 7 |
+
# === 改这里 ===
|
| 8 |
+
MODEL_REPO = "robot4/emotion" # 仓库名 (不能带文件夹)
|
| 9 |
+
MODEL_SUBFOLDER = "checkpoint-6500" # 子文件夹名
|
| 10 |
+
print(f"正在加载模型: {MODEL_REPO} (目录: {MODEL_SUBFOLDER})...")
|
| 11 |
+
try:
|
| 12 |
+
# 关键:加上 subfolder 参数!
|
| 13 |
+
tokenizer = AutoTokenizer.from_pretrained(MODEL_REPO, subfolder=MODEL_SUBFOLDER)
|
| 14 |
+
model = AutoModelForSequenceClassification.from_pretrained(MODEL_REPO, subfolder=MODEL_SUBFOLDER)
|
| 15 |
+
except Exception as e:
|
| 16 |
+
print(f"Error: {e}")
|
| 17 |
+
raise e
|
| 18 |
|
| 19 |
print(f"正在加载模型: {MODEL_REPO} ...")
|
| 20 |
try:
|