Instructions to use shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-1_5") model = PeftModel.from_pretrained(base_model, "shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69") - Notebooks
- Google Colab
- Kaggle
Download config.json from shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69: direct link, hf CLI and curl.
- Browser
- Download file 775 Bytes
-
https://huggingface.co/shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69/resolve/4bd3b7f7ccd170aa03574c9f15dcac90b73c5f07/config.json
- Command line
-
hf download hf://shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69@4bd3b7f7ccd170aa03574c9f15dcac90b73c5f07/config.json
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curl -L -o config.json https://huggingface.co/shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69/resolve/4bd3b7f7ccd170aa03574c9f15dcac90b73c5f07/config.json
775 Bytes
| { | |
| "_attn_implementation_autoset": true, | |
| "_name_or_path": "microsoft/phi-1_5", | |
| "architectures": [ | |
| "PhiForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": null, | |
| "embd_pdrop": 0.0, | |
| "eos_token_id": null, | |
| "hidden_act": "gelu_new", | |
| "hidden_size": 2048, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 8192, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 2048, | |
| "model_type": "phi", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 24, | |
| "num_key_value_heads": 32, | |
| "partial_rotary_factor": 0.5, | |
| "qk_layernorm": false, | |
| "resid_pdrop": 0.0, | |
| "rope_scaling": null, | |
| "rope_theta": 10000.0, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.46.0", | |
| "use_cache": false, | |
| "vocab_size": 51200 | |
| } | |