Instructions to use cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-125m") model = PeftModel.from_pretrained(base_model, "cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062") - Notebooks
- Google Colab
- Kaggle
Download config.json from cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062: direct link, hf CLI and curl.
- Browser
- Download file 788 Bytes
-
https://huggingface.co/cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062/resolve/21acfb5731bbedd25e3d31046904dbe4c6dae6c6/config.json
- Command line
-
hf download hf://cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062@21acfb5731bbedd25e3d31046904dbe4c6dae6c6/config.json
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curl -L -o config.json https://huggingface.co/cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062/resolve/21acfb5731bbedd25e3d31046904dbe4c6dae6c6/config.json
788 Bytes
| { | |
| "_attn_implementation_autoset": true, | |
| "_name_or_path": "facebook/opt-125m", | |
| "_remove_final_layer_norm": false, | |
| "activation_dropout": 0.0, | |
| "activation_function": "relu", | |
| "architectures": [ | |
| "OPTForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 2, | |
| "do_layer_norm_before": true, | |
| "dropout": 0.1, | |
| "enable_bias": true, | |
| "eos_token_id": 2, | |
| "ffn_dim": 3072, | |
| "hidden_size": 768, | |
| "init_std": 0.02, | |
| "layer_norm_elementwise_affine": true, | |
| "layerdrop": 0.0, | |
| "max_position_embeddings": 2048, | |
| "model_type": "opt", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "prefix": "</s>", | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.46.0", | |
| "use_cache": false, | |
| "vocab_size": 50272, | |
| "word_embed_proj_dim": 768 | |
| } | |