Translation
Transformers
ONNX
Transformers.js
English
t5
text2text-generation
cron
scheduling
cronlm
Instructions to use pavstev/cronlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pavstev/cronlm with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="pavstev/cronlm")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pavstev/cronlm") model = AutoModelForSeq2SeqLM.from_pretrained("pavstev/cronlm") - Transformers.js
How to use pavstev/cronlm with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('translation', 'pavstev/cronlm'); - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a322d9c47fc75dce5042c3443b8ce07113564c23be3bccb4162f229f66af9a91
- Size of remote file:
- 11.5 MB
- SHA256:
- e85a4ce753944d485812d3351d787da3cd1b3a784b23075b7295c4e261af2d9b
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