Instructions to use mbruton/gal_pt_mBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbruton/gal_pt_mBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mbruton/gal_pt_mBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mbruton/gal_pt_mBERT") model = AutoModelForTokenClassification.from_pretrained("mbruton/gal_pt_mBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 130 Bytes
17bb1ad | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:28238529fef29fb763aa58326402157c5346334cabb7c711b05d5a3f1e020c9e
size 14503
|