Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use marcolatella/hate_trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcolatella/hate_trained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marcolatella/hate_trained")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marcolatella/hate_trained") model = AutoModelForSequenceClassification.from_pretrained("marcolatella/hate_trained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from marcolatella/hate_trained: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/marcolatella/hate_trained/resolve/main/training_args.bin
- Command line
-
hf download hf://marcolatella/hate_trained/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/marcolatella/hate_trained/resolve/main/training_args.bin
2.93 kB
- Xet hash:
- d9def93723f4f34ce130de169684ec21122f25ca66581339224b1e5ecd27d63a
- Size of remote file:
- 2.93 kB
- SHA256:
- df3000f2eeae2191a568988ce4131915c6993aad8a2ca5a13d1573a5b688d518
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