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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0f7dfd5d0dd38fb30ca3f37a23d6f4aa0fc66e5a56bbc26fa9bacacc50cec94
- Size of remote file:
- 4.98 kB
- SHA256:
- 91cb25e905755270cc2abf9a7bfd3811e4f177ddadb86a2414f19bcd3923eb3a
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