Instructions to use kelvinmbewe/english_nyanja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kelvinmbewe/english_nyanja with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kelvinmbewe/english_nyanja") model = AutoModelForSeq2SeqLM.from_pretrained("kelvinmbewe/english_nyanja", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 304 Bytes
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"bad_words_ids": [
[
59810
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],
"bos_token_id": 0,
"decoder_start_token_id": 59810,
"eos_token_id": 0,
"forced_eos_token_id": 0,
"max_length": 512,
"num_beams": 4,
"pad_token_id": 59810,
"renormalize_logits": true,
"transformers_version": "4.44.2"
}
|