Feature Extraction
Transformers
Safetensors
GenoJEPA
genomics
dna
representation-learning
custom_code
Instructions to use ChengsenWang/GenoJEPA-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChengsenWang/GenoJEPA-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ChengsenWang/GenoJEPA-Base", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("ChengsenWang/GenoJEPA-Base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 484 Bytes
5ae0a0b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"added_tokens_decoder": {
"4": {
"content": "N",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
}
},
"auto_map": {
"AutoTokenizer": [
"tokenizer.GenoJEPATokenizer",
null
]
},
"clean_up_tokenization_spaces": false,
"extra_special_tokens": {},
"model_max_length": 1000000000000000019884624838656,
"pad_token": "N",
"tokenizer_class": "GenoJEPATokenizer"
}
|