Instructions to use Harcuracy/feranmi_translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harcuracy/feranmi_translator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Harcuracy/feranmi_translator") model = AutoModelForSeq2SeqLM.from_pretrained("Harcuracy/feranmi_translator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 288 Bytes
333988b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"bad_words_ids": [
[
64171
]
],
"bos_token_id": 0,
"decoder_start_token_id": 64171,
"eos_token_id": 0,
"forced_eos_token_id": 0,
"max_length": 512,
"num_beams": 6,
"pad_token_id": 64171,
"renormalize_logits": true,
"transformers_version": "4.46.3"
}
|