Instructions to use fkrasnov2/COLD2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fkrasnov2/COLD2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fkrasnov2/COLD2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fkrasnov2/COLD2") model = AutoModelForMaskedLM.from_pretrained("fkrasnov2/COLD2") - Transformers.js
How to use fkrasnov2/COLD2 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('fill-mask', 'fkrasnov2/COLD2'); - Notebooks
- Google Colab
- Kaggle
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