Instructions to use Shrishml/dolly_lora3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Shrishml/dolly_lora3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("databricks/dolly-v2-3b") model = PeftModel.from_pretrained(base_model, "Shrishml/dolly_lora3b") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Shrishml/dolly_lora3b: direct link, hf CLI and curl.
- Browser
- Download file 476 Bytes
-
https://huggingface.co/Shrishml/dolly_lora3b/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Shrishml/dolly_lora3b/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Shrishml/dolly_lora3b/resolve/main/tokenizer_config.json
476 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "name_or_path": "databricks/dolly-v2-3b", | |
| "padding_side": "left", | |
| "special_tokens_map_file": "/admin/home-hailey/.cache/huggingface/hub/models--EleutherAI--gpt-neox-20b/snapshots/4e49eadb5d14bd22f314ec3f45b69a87b88c7691/special_tokens_map.json", | |
| "tokenizer_class": "GPTNeoXTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |