Instructions to use mor40/BulBERT-ner-bsnlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mor40/BulBERT-ner-bsnlp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mor40/BulBERT-ner-bsnlp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mor40/BulBERT-ner-bsnlp") model = AutoModelForTokenClassification.from_pretrained("mor40/BulBERT-ner-bsnlp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
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 326176745
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:184e5f54b106c9eac0a4b16e6bccf085541dc354de7eb9885e4c43948a7d26db
|
| 3 |
size 326176745
|