Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use SiddharthaM/distilbert-hate-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SiddharthaM/distilbert-hate-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SiddharthaM/distilbert-hate-final")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SiddharthaM/distilbert-hate-final") model = AutoModelForSequenceClassification.from_pretrained("SiddharthaM/distilbert-hate-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SiddharthaM/distilbert-hate-final: direct link, hf CLI and curl.
- Browser
- Download file 541 MB
-
https://huggingface.co/SiddharthaM/distilbert-hate-final/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SiddharthaM/distilbert-hate-final/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SiddharthaM/distilbert-hate-final/resolve/main/pytorch_model.bin
541 MB
- Xet hash:
- 1599da2e6d279689f56caf4827267a112d74a41ef8ce2436531165537c058ce4
- Size of remote file:
- 541 MB
- SHA256:
- 0b93a583a5d83999babf6f27b0f5f21ce4bcb78a6bcb420fb107f0974253ccd1
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