Instructions to use spoiled/roberta-base-neg-tags with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spoiled/roberta-base-neg-tags with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="spoiled/roberta-base-neg-tags")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("spoiled/roberta-base-neg-tags") model = AutoModelForTokenClassification.from_pretrained("spoiled/roberta-base-neg-tags") - 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 sha256:0143be7b34847943b8a1cb4f24ffbe5d7290ce97b3808e42dcdc12fc673c8f3c
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size 496254448
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