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
File size: 129 Bytes
be74db8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5a3a589528d66043f7f97aac2b4c6e048c40c2788fce8f9fd6c1ef3ed4df26a4
size 5201
|