Instructions to use jacobmorrison/tk-instruct-xxl-lora-experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacobmorrison/tk-instruct-xxl-lora-experiments with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jacobmorrison/tk-instruct-xxl-lora-experiments") model = AutoModelForSeq2SeqLM.from_pretrained("jacobmorrison/tk-instruct-xxl-lora-experiments", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_results.json from jacobmorrison/tk-instruct-xxl-lora-experiments: direct link, hf CLI and curl.
- Browser
- Download file 195 Bytes
-
https://huggingface.co/jacobmorrison/tk-instruct-xxl-lora-experiments/resolve/main/train_results.json
- Command line
-
hf download hf://jacobmorrison/tk-instruct-xxl-lora-experiments/train_results.json
-
curl -L -o train_results.json https://huggingface.co/jacobmorrison/tk-instruct-xxl-lora-experiments/resolve/main/train_results.json
195 Bytes
| { | |
| "epoch": 2.0, | |
| "train_loss": 0.7423103578629032, | |
| "train_runtime": 191097.123, | |
| "train_samples": 71917, | |
| "train_samples_per_second": 0.753, | |
| "train_steps_per_second": 0.094 | |
| } |