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
File size: 476 Bytes
b9f3db3 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"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|>"
}
|