Instructions to use Nithees/bloom3b-ft-llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Nithees/bloom3b-ft-llm with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-3b") model = PeftModel.from_pretrained(base_model, "Nithees/bloom3b-ft-llm") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Nithees/bloom3b-ft-llm: direct link, hf CLI and curl.
- Browser
- Download file 286 Bytes
-
https://huggingface.co/Nithees/bloom3b-ft-llm/resolve/refs%2Fpr%2F1/tokenizer_config.json
- Command line
-
hf download hf://Nithees/bloom3b-ft-llm@refs/pr/1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Nithees/bloom3b-ft-llm/resolve/refs%2Fpr%2F1/tokenizer_config.json
286 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "padding_side": "left", | |
| "tokenizer_class": "BloomTokenizer", | |
| "unk_token": "<unk>" | |
| } | |