Instructions to use HiAmNear/cafebert-ViFE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiAmNear/cafebert-ViFE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HiAmNear/cafebert-ViFE")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HiAmNear/cafebert-ViFE") model = AutoModelForSequenceClassification.from_pretrained("HiAmNear/cafebert-ViFE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2239647372
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d93af6b070094148dfc3c2004e4aec24e25586fe06b45e8796b998d8cc7e2a2a
|
| 3 |
size 2239647372
|
runs/Nov21_14-44-48_DESKTOP-7CKIE0L/events.out.tfevents.1732175094.DESKTOP-7CKIE0L.5084.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d70548ba8633765aa0e2397c78e1a15758b40eef5f9a88dc186ef9cc3e2dbb95
|
| 3 |
+
size 6237
|