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:
- 968285ccf8beea9fd9f8131f4ea72f8dab0b201a7341c555701eb03e4104cb3b
- Size of remote file:
- 12.7 MB
- SHA256:
- 5db5dd5cb2aaceb9fd9a14f0d4c748a31e3c90561ef432b509c39ccaa864574f
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