Instructions to use Subhasish600/NoGood-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Subhasish600/NoGood-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Subhasish600/NoGood-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Subhasish600/NoGood-model") model = AutoModelForSequenceClassification.from_pretrained("Subhasish600/NoGood-model") - 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:bd7848fa384ffc9055e25b1e3cf496ad24b545943139ebb706fa83c86892e799
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size 437962832
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