Instructions to use cleanrl/EleutherAI_pythia-1b-deduped__reward__tldr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cleanrl/EleutherAI_pythia-1b-deduped__reward__tldr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cleanrl/EleutherAI_pythia-1b-deduped__reward__tldr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cleanrl/EleutherAI_pythia-1b-deduped__reward__tldr") model = AutoModelForSequenceClassification.from_pretrained("cleanrl/EleutherAI_pythia-1b-deduped__reward__tldr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cleanrl/EleutherAI_pythia-1b-deduped__reward__tldr: direct link, hf CLI and curl.
- Browser
- Download file 3.64 GB
-
https://huggingface.co/cleanrl/EleutherAI_pythia-1b-deduped__reward__tldr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cleanrl/EleutherAI_pythia-1b-deduped__reward__tldr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cleanrl/EleutherAI_pythia-1b-deduped__reward__tldr/resolve/main/pytorch_model.bin
3.64 GB
- Xet hash:
- fa99fc1ec3637b5839af5fafeacb68afdb1098916492de12dd151de2d41b3065
- Size of remote file:
- 3.64 GB
- SHA256:
- 28ce4327b1e1b9a8f552eb5742745cfa25ffbc2516ee8e2dbd2612c33e8a4c9f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.