Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use callmesan/twitter-roberta-large-hate-latest-hinglish-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use callmesan/twitter-roberta-large-hate-latest-hinglish-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="callmesan/twitter-roberta-large-hate-latest-hinglish-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("callmesan/twitter-roberta-large-hate-latest-hinglish-binary") model = AutoModelForSequenceClassification.from_pretrained("callmesan/twitter-roberta-large-hate-latest-hinglish-binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 830ac4e509d1b9503e84430d8d3bb47f4fdd57a4e786d04d0c8b32abaab4a9e6
- Size of remote file:
- 5.3 kB
- SHA256:
- 91d70ea29f5fb5b2748d438e7451d7620daf913f98ce7b3df7ea395c5c8548ea
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