Instructions to use simecek/DNAPerceiver1_2epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/DNAPerceiver1_2epochs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/DNAPerceiver1_2epochs")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/DNAPerceiver1_2epochs") model = AutoModelForMaskedLM.from_pretrained("simecek/DNAPerceiver1_2epochs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from simecek/DNAPerceiver1_2epochs: direct link, hf CLI and curl.
- Browser
- Download file 1.08 GB
-
https://huggingface.co/simecek/DNAPerceiver1_2epochs/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://simecek/DNAPerceiver1_2epochs/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/simecek/DNAPerceiver1_2epochs/resolve/main/pytorch_model.bin
1.08 GB
- Xet hash:
- e3bbd01b29ede3589229d50af34b577f787150c31425ba0338ad37284522e45d
- Size of remote file:
- 1.08 GB
- SHA256:
- dc2c2dc31ad4d1f8a3bdd54d94d28e958401b84a1aa84f119e33ab2389f6d248
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