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 tokenizer.json from coderSounak/finetuned_twitter_profane_roberta: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/coderSounak/finetuned_twitter_profane_roberta/resolve/main/tokenizer.json
- Command line
-
hf download hf://coderSounak/finetuned_twitter_profane_roberta/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/coderSounak/finetuned_twitter_profane_roberta/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 5ffe68ef4822bb7f382caa751dc5b89e93835d25c543e4622b607d696222e43b
- Size of remote file:
- 17.1 MB
- SHA256:
- fa919170495afbc86481b2ba28b16bfef241790e322601b4edc6bdc1f913d71f
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