Instructions to use mpalaval/assignment2_meher_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpalaval/assignment2_meher_test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mpalaval/assignment2_meher_test2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mpalaval/assignment2_meher_test2") model = AutoModelForTokenClassification.from_pretrained("mpalaval/assignment2_meher_test2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c63bbdf43b74a0b82cc85d209ddc0a2eb0e265c2733bf715bcbd1858d3ff16e
- Size of remote file:
- 431 MB
- SHA256:
- ec28b372a5e3b64f7e6c85a3c82452b0390fed73fdf35f66860d527ac5c70431
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