Instructions to use terhdavid/test-train-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use terhdavid/test-train-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="terhdavid/test-train-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("terhdavid/test-train-model") model = AutoModelForTokenClassification.from_pretrained("terhdavid/test-train-model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 265514021
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c276822d890a902f6d178b65278ab2c1a5d2300e72ceb0c60d6e27a32e097f27
|
| 3 |
size 265514021
|