Text Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use coderSounak/finetuned_twitter_hate_speech_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coderSounak/finetuned_twitter_hate_speech_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="coderSounak/finetuned_twitter_hate_speech_roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("coderSounak/finetuned_twitter_hate_speech_roberta") model = AutoModelForSequenceClassification.from_pretrained("coderSounak/finetuned_twitter_hate_speech_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from coderSounak/finetuned_twitter_hate_speech_roberta: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/coderSounak/finetuned_twitter_hate_speech_roberta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://coderSounak/finetuned_twitter_hate_speech_roberta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/coderSounak/finetuned_twitter_hate_speech_roberta/resolve/main/pytorch_model.bin
1.11 GB
- Xet hash:
- 3ee9c135720b0221e601170d721126b0fe513efaa28c53bc78f674e5728021b6
- Size of remote file:
- 1.11 GB
- SHA256:
- 39093d84f4581a5e4d934fb7932b87eecbda10acbbf82e75551556b3edfc15df
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