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 predict_eval_predictions.jsonl from jacobmorrison/tk-instruct-base-lora-experiments: direct link, hf CLI and curl.
- Browser
- Download file 646 kB
-
https://huggingface.co/jacobmorrison/tk-instruct-base-lora-experiments/resolve/main/predict_eval_predictions.jsonl
- Command line
-
hf download hf://jacobmorrison/tk-instruct-base-lora-experiments/predict_eval_predictions.jsonl
-
curl -L -o predict_eval_predictions.jsonl https://huggingface.co/jacobmorrison/tk-instruct-base-lora-experiments/resolve/main/predict_eval_predictions.jsonl
646 kB
File too large to display, you can check the raw version instead.