Instructions to use henryscheible/gpt2_crows_pairs_classifieronly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/gpt2_crows_pairs_classifieronly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/gpt2_crows_pairs_classifieronly")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/gpt2_crows_pairs_classifieronly") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/gpt2_crows_pairs_classifieronly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from henryscheible/gpt2_crows_pairs_classifieronly: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/henryscheible/gpt2_crows_pairs_classifieronly/resolve/main/training_args.bin
- Command line
-
hf download hf://henryscheible/gpt2_crows_pairs_classifieronly/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/henryscheible/gpt2_crows_pairs_classifieronly/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 78be8732704a2f4738d576baf7cddc767009a4cec726f081f20d8a40aa317642
- Size of remote file:
- 3.58 kB
- SHA256:
- a51a50a2324761b7c2cef5d8f730679a4a17a250993956b1cf5eeddddc622ab7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.