Instructions to use oleshy/ontochem_biobert_300_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oleshy/ontochem_biobert_300_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="oleshy/ontochem_biobert_300_1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("oleshy/ontochem_biobert_300_1") model = AutoModelForTokenClassification.from_pretrained("oleshy/ontochem_biobert_300_1") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 10
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 430911284
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:367035ee137bc2d959c644cd450712127b8d90238427aa82d5028484ae92009a
|
| 3 |
size 430911284
|