Translation
Transformers
ONNX
Safetensors
Transformers.js
t5
text2text-generation
seq2seq
browser-ml
timers
synthetic-data
text-generation-inference
Instructions to use Satansdeer/timmy-t2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Satansdeer/timmy-t2 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="Satansdeer/timmy-t2")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Satansdeer/timmy-t2") model = AutoModelForSeq2SeqLM.from_pretrained("Satansdeer/timmy-t2", device_map="auto") - Transformers.js
How to use Satansdeer/timmy-t2 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('translation', 'Satansdeer/timmy-t2'); - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bec5af8a7681a640ceabe6b8db009ed70c4d469dd822fc8143156c470d4a8b4
- Size of remote file:
- 11.5 MB
- SHA256:
- 4152664aa507d6698f5ca0e051b3386265110f8ab048be3421bf93cd92b25b2f
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