Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use RafiBrent/chatgpt_eli5_text_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RafiBrent/chatgpt_eli5_text_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RafiBrent/chatgpt_eli5_text_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RafiBrent/chatgpt_eli5_text_classifier") model = AutoModelForSequenceClassification.from_pretrained("RafiBrent/chatgpt_eli5_text_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RafiBrent/chatgpt_eli5_text_classifier: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/RafiBrent/chatgpt_eli5_text_classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://RafiBrent/chatgpt_eli5_text_classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RafiBrent/chatgpt_eli5_text_classifier/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- f5777916a5dd634eb7ebff0c19089345493f3d0d806f0451b33ebb6d9e36bf95
- Size of remote file:
- 3.64 kB
- SHA256:
- 3d7f5409106f7c039897eb66ab7d573488448840a6a262a6959184e8af9f3d02
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