Instructions to use pavanpankaj/incre-train-addlayers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pavanpankaj/incre-train-addlayers with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-rw-1b") model = PeftModel.from_pretrained(base_model, "pavanpankaj/incre-train-addlayers") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "tiiuae/falcon-rw-1b", | |
| "alibi": true, | |
| "apply_residual_connection_post_layernorm": false, | |
| "architectures": [ | |
| "RWForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "auto_map": { | |
| "AutoConfig": "tiiuae/falcon-rw-1b--configuration_RW.RWConfig", | |
| "AutoModelForCausalLM": "tiiuae/falcon-rw-1b--modelling_RW.RWForCausalLM" | |
| }, | |
| "bias": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "hidden_dropout": 0.0, | |
| "hidden_size": 2048, | |
| "initializer_range": 0.02, | |
| "layer_norm_epsilon": 1e-05, | |
| "model_type": "RefinedWebModel", | |
| "multi_query": false, | |
| "n_head": 32, | |
| "n_layer": 24, | |
| "parallel_attn": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.31.0.dev0", | |
| "use_cache": true, | |
| "vocab_size": 50304 | |
| } | |