Instructions to use mbruton/gal_sp_mBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbruton/gal_sp_mBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mbruton/gal_sp_mBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mbruton/gal_sp_mBERT") model = AutoModelForTokenClassification.from_pretrained("mbruton/gal_sp_mBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
357a899 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0c8ff3193a40e457469f08975787d5619a0bdd0769dc365e0e902e18668d9dd2
size 709275633
|