Instructions to use Jsevisal/bert-gest-pred-seqeval-partialmatch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jsevisal/bert-gest-pred-seqeval-partialmatch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Jsevisal/bert-gest-pred-seqeval-partialmatch")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Jsevisal/bert-gest-pred-seqeval-partialmatch") model = AutoModelForTokenClassification.from_pretrained("Jsevisal/bert-gest-pred-seqeval-partialmatch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8ddcae0f5cab0321ee4bf55b156680ab43bebe764e28e6d532b2b32c04092f9
- Size of remote file:
- 431 MB
- SHA256:
- e37cc4b5caa7bda461d3980188a0ee62e70b65044aa0e551b2e23bb273de5b6d
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