Instructions to use m1969m/bert-base-cased-sci-units-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m1969m/bert-base-cased-sci-units-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="m1969m/bert-base-cased-sci-units-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("m1969m/bert-base-cased-sci-units-ner") model = AutoModelForTokenClassification.from_pretrained("m1969m/bert-base-cased-sci-units-ner") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
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 430917412
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:792d4c625ec89b9e811c6557d55bbb70fe684b0df2ae7129e42c23b42ff443b0
|
| 3 |
size 430917412
|