Text Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use coderSounak/finetuned_twitter_profane_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coderSounak/finetuned_twitter_profane_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="coderSounak/finetuned_twitter_profane_roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("coderSounak/finetuned_twitter_profane_roberta") model = AutoModelForSequenceClassification.from_pretrained("coderSounak/finetuned_twitter_profane_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from coderSounak/finetuned_twitter_profane_roberta: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/coderSounak/finetuned_twitter_profane_roberta/resolve/main/training_args.bin
- Command line
-
hf download hf://coderSounak/finetuned_twitter_profane_roberta/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/coderSounak/finetuned_twitter_profane_roberta/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 2405370c8e7a98fe6af51434b7bf0d1491b605e75a450180beb01e8dc0967c7b
- Size of remote file:
- 3.44 kB
- SHA256:
- 88c3d2da6909a64694940647f8bb232fce4b8ac6f2081c9b3b428ce5858c2979
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