Token Classification
Transformers
Safetensors
big_bird
fill-mask
CodonTransformer
Computational Biology
Machine Learning
Bioinformatics
Synthetic Biology
biology
Instructions to use adibvafa/CodonTransformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adibvafa/CodonTransformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="adibvafa/CodonTransformer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("adibvafa/CodonTransformer") model = AutoModelForMaskedLM.from_pretrained("adibvafa/CodonTransformer", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download generation_config.json from adibvafa/CodonTransformer: direct link, hf CLI and curl.
- Browser
- Download file 139 Bytes
-
https://huggingface.co/adibvafa/CodonTransformer/resolve/main/generation_config.json
- Command line
-
hf download hf://adibvafa/CodonTransformer/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/adibvafa/CodonTransformer/resolve/main/generation_config.json
139 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.40.0" | |
| } | |