Instructions to use InstaDeepAI/agro-nucleotide-transformer-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/agro-nucleotide-transformer-1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="InstaDeepAI/agro-nucleotide-transformer-1b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("InstaDeepAI/agro-nucleotide-transformer-1b") model = AutoModelForMaskedLM.from_pretrained("InstaDeepAI/agro-nucleotide-transformer-1b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download jax_model/pytree_ckpt.joblib from InstaDeepAI/agro-nucleotide-transformer-1b: direct link, hf CLI and curl.
- Browser
- Download file 3.97 GB
-
https://huggingface.co/InstaDeepAI/agro-nucleotide-transformer-1b/resolve/main/jax_model/pytree_ckpt.joblib
- Command line
-
hf download hf://InstaDeepAI/agro-nucleotide-transformer-1b/jax_model/pytree_ckpt.joblib
-
curl -L -o pytree_ckpt.joblib https://huggingface.co/InstaDeepAI/agro-nucleotide-transformer-1b/resolve/main/jax_model/pytree_ckpt.joblib
3.97 GB
- Xet hash:
- 5f4bf9fef66dd24e6ce5789b3774d74f990a9dd23d5cfa68bb2b5546df818219
- Size of remote file:
- 3.97 GB
- SHA256:
- 1499f2c786b32db279c606e3a81099cc57126337cb0b0240ed271b79f7ccfbc4
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