Instructions to use dnagpt/dnagpt_unigram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dnagpt/dnagpt_unigram with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dnagpt/dnagpt_unigram")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dnagpt/dnagpt_unigram") model = AutoModel.from_pretrained("dnagpt/dnagpt_unigram", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from dnagpt/dnagpt_unigram: direct link, hf CLI and curl.
- Browser
- Download file 902 Bytes
-
https://huggingface.co/dnagpt/dnagpt_unigram/resolve/main/config.json
- Command line
-
hf download hf://dnagpt/dnagpt_unigram/config.json
-
curl -L -o config.json https://huggingface.co/dnagpt/dnagpt_unigram/resolve/main/config.json
902 Bytes
| { | |
| "_name_or_path": "dnagpt_unigram", | |
| "activation_function": "gelu_new", | |
| "architectures": [ | |
| "GPT2Model" | |
| ], | |
| "attn_pdrop": 0.1, | |
| "bos_token_id": 5, | |
| "embd_pdrop": 0.1, | |
| "eos_token_id": 6, | |
| "initializer_range": 0.02, | |
| "layer_norm_epsilon": 1e-05, | |
| "model_type": "gpt2", | |
| "n_ctx": 512, | |
| "n_embd": 768, | |
| "n_head": 12, | |
| "n_inner": null, | |
| "n_layer": 12, | |
| "n_positions": 1024, | |
| "reorder_and_upcast_attn": false, | |
| "resid_pdrop": 0.1, | |
| "scale_attn_by_inverse_layer_idx": false, | |
| "scale_attn_weights": true, | |
| "summary_activation": null, | |
| "summary_first_dropout": 0.1, | |
| "summary_proj_to_labels": true, | |
| "summary_type": "cls_index", | |
| "summary_use_proj": true, | |
| "task_specific_params": { | |
| "text-generation": { | |
| "do_sample": true, | |
| "max_length": 50 | |
| } | |
| }, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.31.0", | |
| "use_cache": true, | |
| "vocab_size": 50000 | |
| } | |