Instructions to use conorgee/HomophobicClassfication_roberta-large_fineTuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use conorgee/HomophobicClassfication_roberta-large_fineTuned_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="conorgee/HomophobicClassfication_roberta-large_fineTuned_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("conorgee/HomophobicClassfication_roberta-large_fineTuned_model") model = AutoModelForSequenceClassification.from_pretrained("conorgee/HomophobicClassfication_roberta-large_fineTuned_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebe8bdacc9530fdd6754165722d940b8287b23d004a70a0aa474a8d13f4955b1
- Size of remote file:
- 1.42 GB
- SHA256:
- b2bb8815012ee4a520f6024336d4f95af9840c7b533f507648ea850233d0a31d
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