Instructions to use alitolga/627_bigscience_mt0-base_P_Tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alitolga/627_bigscience_mt0-base_P_Tuning with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("bigscience/mt0-base") model = PeftModel.from_pretrained(base_model, "alitolga/627_bigscience_mt0-base_P_Tuning") - Notebooks
- Google Colab
- Kaggle
File size: 441 Bytes
89e17dd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"auto_mapping": null,
"base_model_name_or_path": "bigscience/mt0-base",
"encoder_dropout": 0.0,
"encoder_hidden_size": 128,
"encoder_num_layers": 2,
"encoder_reparameterization_type": "MLP",
"inference_mode": true,
"num_attention_heads": 12,
"num_layers": 12,
"num_transformer_submodules": 2,
"num_virtual_tokens": 10,
"peft_type": "P_TUNING",
"revision": null,
"task_type": "SEQ_2_SEQ_LM",
"token_dim": 768
} |