Instructions to use lenguist/seq2tag-grammar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lenguist/seq2tag-grammar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lenguist/seq2tag-grammar")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lenguist/seq2tag-grammar") model = AutoModelForTokenClassification.from_pretrained("lenguist/seq2tag-grammar") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b69b2d8ea0bae872593ac2bcae43729947e38cd90ad2c483f1b3936c8cd3537c
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size 438172480
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