Instructions to use Lya/biobert-ehr-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lya/biobert-ehr-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Lya/biobert-ehr-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Lya/biobert-ehr-ner") model = AutoModelForTokenClassification.from_pretrained("Lya/biobert-ehr-ner") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:638a202f5425657f6276882bc07d0c554feb8e6d8fb08e74cf0e9c107a5d817a
|
| 3 |
+
size 1391
|