Instructions to use abilashnair/text2ql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abilashnair/text2ql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-1.4b") model = PeftModel.from_pretrained(base_model, "abilashnair/text2ql") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "GPTNeoXForCausalLM" | |
| ], | |
| "bos_token_id": 0, | |
| "eos_token_id": 0, | |
| "hidden_act": "gelu", | |
| "hidden_size": 2048, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 8192, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 2048, | |
| "model_type": "gpt_neox", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "rotary_emb_base": 10000, | |
| "rotary_pct": 0.25, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.24.0", | |
| "use_cache": true, | |
| "use_parallel_residual": true, | |
| "vocab_size": 50304 | |
| } | |