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 training_args.bin from SiddharthaM/distilbert-hate-final: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/SiddharthaM/distilbert-hate-final/resolve/main/training_args.bin
- Command line
-
hf download hf://SiddharthaM/distilbert-hate-final/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SiddharthaM/distilbert-hate-final/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- daf3eafa8b1d4a00be64369d7e757bea32810c73fafcc4bab6420ac6da31510c
- Size of remote file:
- 3.38 kB
- SHA256:
- 5009072f56484aa96f989d9f3de22736e5cb10f34170a3bdc1194f9853ac7fef
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