Instructions to use AmaanDhamaskar/muril_finetuned_ner_hmb_e2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmaanDhamaskar/muril_finetuned_ner_hmb_e2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AmaanDhamaskar/muril_finetuned_ner_hmb_e2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AmaanDhamaskar/muril_finetuned_ner_hmb_e2") model = AutoModelForTokenClassification.from_pretrained("AmaanDhamaskar/muril_finetuned_ner_hmb_e2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2a70b38347eb703489e471defda1b28d1c7991e8a958d0fcf76b6253cd787ce
- Size of remote file:
- 5.24 kB
- SHA256:
- ed3cfa0fb58076bb84ce49579e667b33cfd2596a03555e4c2ad616047f099a31
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