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:
- 93df2db671d64d8bf88a7271399f3250110e1f8e3270193ccad69ce31bbba95d
- Size of remote file:
- 4.6 kB
- SHA256:
- 29eae80747f4000a027d0f63154b292b87d13e593cef7721abf71e20ec488d98
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