Instructions to use SalamaThanks/SalamaThanksTransformer_en2fil_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SalamaThanks/SalamaThanksTransformer_en2fil_v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SalamaThanks/SalamaThanksTransformer_en2fil_v2") model = AutoModelForSeq2SeqLM.from_pretrained("SalamaThanks/SalamaThanksTransformer_en2fil_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
SalamaThanks Transformer for English-to-Filipino Text Translation version 2.
A finetuned transformer model based on the Helsinki-NLP/opus-mt-en-tl transformer model.
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