Instructions to use hduc-le/VyT5-SentToken-Classification-ep-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hduc-le/VyT5-SentToken-Classification-ep-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hduc-le/VyT5-SentToken-Classification-ep-1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hduc-le/VyT5-SentToken-Classification-ep-1") model = AutoModelForTokenClassification.from_pretrained("hduc-le/VyT5-SentToken-Classification-ep-1") - 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 sha256:850b56dbfae036881583a5870188b3acdbf8f1fbcd0a2bb35547f8aede31bdff
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size 908578532
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