Instructions to use datarpit/toy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datarpit/toy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="datarpit/toy")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("datarpit/toy") model = AutoModelForQuestionAnswering.from_pretrained("datarpit/toy") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5500
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 265497461
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a78986aa27b90dff22c17d4ee267c55866c9eb73e07a0c28a711b088b5b3be26
|
| 3 |
size 265497461
|