Instructions to use dnagpt/gpt2_gene_multi_v1_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dnagpt/gpt2_gene_multi_v1_ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dnagpt/gpt2_gene_multi_v1_ft")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dnagpt/gpt2_gene_multi_v1_ft") model = AutoModelForSequenceClassification.from_pretrained("dnagpt/gpt2_gene_multi_v1_ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dnagpt/gpt2_gene_multi_v1_ft: direct link, hf CLI and curl.
- Browser
- Download file 6.11 MB
-
https://huggingface.co/dnagpt/gpt2_gene_multi_v1_ft/resolve/main/tokenizer.json
- Command line
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hf download hf://dnagpt/gpt2_gene_multi_v1_ft/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/dnagpt/gpt2_gene_multi_v1_ft/resolve/main/tokenizer.json
6.11 MB
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