Instructions to use slarkprime/bloom3b-squad-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use slarkprime/bloom3b-squad-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-3b") model = PeftModel.from_pretrained(base_model, "slarkprime/bloom3b-squad-v2") - Notebooks
- Google Colab
- Kaggle
File size: 436 Bytes
a42c302 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"auto_mapping": null,
"base_model_name_or_path": "bigscience/bloom-3b",
"bias": "none",
"fan_in_fan_out": false,
"inference_mode": true,
"init_lora_weights": true,
"layers_pattern": null,
"layers_to_transform": null,
"lora_alpha": 32,
"lora_dropout": 0.05,
"modules_to_save": null,
"peft_type": "LORA",
"r": 8,
"revision": null,
"target_modules": [
"query_key_value"
],
"task_type": "CAUSAL_LM"
} |