Transformers
PyTorch
Safetensors
English
bart
text2text-generation
Generated from Trainer
instruct
instructions
code
instructiongen
Instructions to use pszemraj/bart-large-code-instructiongen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pszemraj/bart-large-code-instructiongen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pszemraj/bart-large-code-instructiongen") model = AutoModelForSeq2SeqLM.from_pretrained("pszemraj/bart-large-code-instructiongen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from pszemraj/bart-large-code-instructiongen: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/pszemraj/bart-large-code-instructiongen/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://pszemraj/bart-large-code-instructiongen@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/pszemraj/bart-large-code-instructiongen/resolve/refs%2Fpr%2F1/pytorch_model.bin
1.63 GB
- Xet hash:
- 7aa8ea7f340f009e8baff70ad7d18871846887073bf651c8a72a2ab83b1bae89
- Size of remote file:
- 1.63 GB
- SHA256:
- bc2135c478fffaa668b32883b38b3cab833c38f304f43082c9921d9ebd005257
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