Instructions to use mpalaval/assignment2_meher_test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpalaval/assignment2_meher_test3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mpalaval/assignment2_meher_test3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mpalaval/assignment2_meher_test3") model = AutoModelForTokenClassification.from_pretrained("mpalaval/assignment2_meher_test3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97fd71308c43e2698a08d97dda6fe8e25662f2fa6cb499d007650c8672b365a5
- Size of remote file:
- 431 MB
- SHA256:
- 6d11d15640bfa0945c75c3363908d7ea5a948ff85a4b2f116e4f60d3f831655f
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