Instructions to use LSimmons/FragZONFactMetaRecommendationHyperParamSearch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LSimmons/FragZONFactMetaRecommendationHyperParamSearch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LSimmons/FragZONFactMetaRecommendationHyperParamSearch")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LSimmons/FragZONFactMetaRecommendationHyperParamSearch") model = AutoModelForSequenceClassification.from_pretrained("LSimmons/FragZONFactMetaRecommendationHyperParamSearch") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:15e0d923ae239a23658cde69449e7652097747e4fbcc33d5daedb39e4ce9131d
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size 1343002540
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