Instructions to use mpalaval/assignment2_attempt11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpalaval/assignment2_attempt11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mpalaval/assignment2_attempt11")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mpalaval/assignment2_attempt11") model = AutoModelForTokenClassification.from_pretrained("mpalaval/assignment2_attempt11") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 7
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 430993062
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:32af7f79adfc179ad74cf8670b8d88283b919d3904abdd74ecf07fffb664ba48
|
| 3 |
size 430993062
|