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 pytorch_model.bin from RafiBrent/chatgpt_eli5_text_classifier: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/RafiBrent/chatgpt_eli5_text_classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://RafiBrent/chatgpt_eli5_text_classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RafiBrent/chatgpt_eli5_text_classifier/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- af85fd9574ba43e00ad44f89ae2e27bfed2175cdb553e6739e7a833007ed8064
- Size of remote file:
- 268 MB
- SHA256:
- 83ff424491ed55e372ef9679dc0f7a029e369aafcc150ee56cd29b77397a1a8e
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