Instructions to use AMUseBot/roberta-base-cookdial-v1_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AMUseBot/roberta-base-cookdial-v1_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AMUseBot/roberta-base-cookdial-v1_1")# Load model directly from transformers import AutoTokenizer, RobertaForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AMUseBot/roberta-base-cookdial-v1_1") model = RobertaForMultiLabelSequenceClassification.from_pretrained("AMUseBot/roberta-base-cookdial-v1_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 sha256:7446c8b2ccad648fe1aaa284b17965112310b800ac8150f27104380d61740b14
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size 501050340
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