Instructions to use jacobmorrison/tk-instruct-base-lora-experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacobmorrison/tk-instruct-base-lora-experiments with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jacobmorrison/tk-instruct-base-lora-experiments") model = AutoModelForSeq2SeqLM.from_pretrained("jacobmorrison/tk-instruct-base-lora-experiments", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jacobmorrison/tk-instruct-base-lora-experiments: direct link, hf CLI and curl.
- Browser
- Download file 495 MB
-
https://huggingface.co/jacobmorrison/tk-instruct-base-lora-experiments/resolve/00fded6c554266207b0905650e00a00a6a8635ca/pytorch_model.bin
- Command line
-
hf download hf://jacobmorrison/tk-instruct-base-lora-experiments@00fded6c554266207b0905650e00a00a6a8635ca/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jacobmorrison/tk-instruct-base-lora-experiments/resolve/00fded6c554266207b0905650e00a00a6a8635ca/pytorch_model.bin
495 MB
- Xet hash:
- 613b366021442eff5cf9325e6fee48e96351d2908005f8f71e1f5c3298c45af5
- Size of remote file:
- 495 MB
- SHA256:
- 1bbe2064e3eeafa1031f73613a1119e817df6fc5d53c9b32d0a91e2b0a69209c
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