Instructions to use nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-350m") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88") - Notebooks
- Google Colab
- Kaggle
Download config.json from nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88: direct link, hf CLI and curl.
- Browser
- Download file 1.27 kB
-
https://huggingface.co/nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88/resolve/main/config.json
- Command line
-
hf download hf://nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88/config.json
-
curl -L -o config.json https://huggingface.co/nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88/resolve/main/config.json
1.27 kB
| { | |
| "_attn_implementation_autoset": true, | |
| "_name_or_path": "facebook/opt-350m", | |
| "_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": false, | |
| "dropout": 0.1, | |
| "enable_bias": true, | |
| "eos_token_id": 2, | |
| "ffn_dim": 4096, | |
| "hidden_size": 1024, | |
| "init_std": 0.02, | |
| "layer_norm_elementwise_affine": true, | |
| "layerdrop": 0.0, | |
| "max_position_embeddings": 2048, | |
| "model_type": "opt", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "pad_token_id": 1, | |
| "prefix": "</s>", | |
| "quantization_config": { | |
| "_load_in_4bit": false, | |
| "_load_in_8bit": true, | |
| "bnb_4bit_compute_dtype": "float32", | |
| "bnb_4bit_quant_storage": "uint8", | |
| "bnb_4bit_quant_type": "fp4", | |
| "bnb_4bit_use_double_quant": false, | |
| "llm_int8_enable_fp32_cpu_offload": false, | |
| "llm_int8_has_fp16_weight": false, | |
| "llm_int8_skip_modules": null, | |
| "llm_int8_threshold": 6.0, | |
| "load_in_4bit": false, | |
| "load_in_8bit": true, | |
| "quant_method": "bitsandbytes" | |
| }, | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.46.0", | |
| "use_cache": false, | |
| "vocab_size": 50272, | |
| "word_embed_proj_dim": 512 | |
| } | |