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
File size: 634 Bytes
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"bos_token": "<s>",
"cls_token": "<s>",
"eos_token": "</s>",
"mask_token": {
"__type": "AddedToken",
"content": "<mask>",
"lstrip": true,
"normalized": true,
"rstrip": false,
"single_word": false
},
"name_or_path": "cardiffnlp/twitter-xlm-roberta-base-sentiment",
"pad_token": "<pad>",
"sep_token": "</s>",
"sp_model_kwargs": {},
"special_tokens_map_file": "/root/.cache/huggingface/hub/models--cardiffnlp--twitter-xlm-roberta-base-sentiment/snapshots/f3e34b6c30bf27b6649f72eca85d0bbe79df1e55/special_tokens_map.json",
"tokenizer_class": "XLMRobertaTokenizer",
"unk_token": "<unk>"
}
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