Instructions to use bryanahusna/my-nergrit-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bryanahusna/my-nergrit-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bryanahusna/my-nergrit-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bryanahusna/my-nergrit-model") model = AutoModelForTokenClassification.from_pretrained("bryanahusna/my-nergrit-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28e7bc071aaddaab8ddb27ddd521f369357c8239b99fb41d521d18f1e47d377b
- Size of remote file:
- 4.03 kB
- SHA256:
- 6e7a7d5504180043ab48b98189fb1fed280419d0237b9e4c2ffa07e61064fa98
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