Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use conorgee/HomophobicClassfication_roberta-large_fineTuned_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use conorgee/HomophobicClassfication_roberta-large_fineTuned_model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="conorgee/HomophobicClassfication_roberta-large_fineTuned_model2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("conorgee/HomophobicClassfication_roberta-large_fineTuned_model2") model = AutoModelForSequenceClassification.from_pretrained("conorgee/HomophobicClassfication_roberta-large_fineTuned_model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2478994b754d6b65ffea5fb0991262127a33deed079dbf320eea4aac9ffc1752
- Size of remote file:
- 4.98 kB
- SHA256:
- 37e20a041e0259e814dec4ebea6d9e18253bcde4f61080a6db4f9f1d45c9121a
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