Instructions to use BWayne/just-nce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BWayne/just-nce with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BWayne/just-nce")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BWayne/just-nce") model = AutoModelForTokenClassification.from_pretrained("BWayne/just-nce", device_map="auto") - 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 sha256:32659ca10adadfb4bf3ad2a355be14f78833d5b9eaf2d3c1b2934d3ba3d12dba
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size 520731764
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