Instructions to use ctheodoris/Geneformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctheodoris/Geneformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ctheodoris/Geneformer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ctheodoris/Geneformer") model = AutoModelForMaskedLM.from_pretrained("ctheodoris/Geneformer", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download config.json from ctheodoris/Geneformer: direct link, hf CLI and curl.
- Browser
- Download file 591 Bytes
-
https://huggingface.co/ctheodoris/Geneformer/resolve/7cf49a35a86ed13714473b420b65bfe4a910de79/config.json
- Command line
-
hf download hf://ctheodoris/Geneformer@7cf49a35a86ed13714473b420b65bfe4a910de79/config.json
-
curl -L -o config.json https://huggingface.co/ctheodoris/Geneformer/resolve/7cf49a35a86ed13714473b420b65bfe4a910de79/config.json
591 Bytes
| { | |
| "architectures": [ | |
| "BertForMaskedLM" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "hidden_act": "relu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 1152, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4608, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 4096, | |
| "model_type": "bert", | |
| "num_attention_heads": 18, | |
| "num_hidden_layers": 18, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.44.2", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 20275 | |
| } | |