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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 805d902a006c124273d0b9fe1313814862e545d52e945c19097ee7cc40f6eb71
- Size of remote file:
- 1.42 GB
- SHA256:
- 0ccb8e0cffac1a983f06c092210b2835fe64f7f2cf4526add68f0526f9076187
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