Instructions to use lixiangchun/transcriptome-bert-1536-1-16-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lixiangchun/transcriptome-bert-1536-1-16-64 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lixiangchun/transcriptome-bert-1536-1-16-64")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lixiangchun/transcriptome-bert-1536-1-16-64") model = AutoModelForMaskedLM.from_pretrained("lixiangchun/transcriptome-bert-1536-1-16-64") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
- Downloads last month
- 6