Instructions to use Sushmita85/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sushmita85/test_model 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, "Sushmita85/test_model") - Notebooks
- Google Colab
- Kaggle
File size: 735 Bytes
21f2cd5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | {
"_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": "bfloat16",
"transformers_version": "4.41.2",
"use_cache": true,
"vocab_size": 51200
}
|