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
- Xet hash:
- 3cf1320c493c0796d1b0e700361217225eb28594d55575d2209ab4a114b064b4
- Size of remote file:
- 438 MB
- SHA256:
- 5ffdc121d3c3eb867267dbc9346ab2c4fd25a958b608e73cb8457b0b8d4575cd
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