Instructions to use hf-tiny-model-private/tiny-random-FSMTForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-FSMTForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-FSMTForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-FSMTForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 298 Bytes
7a92d8b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"bos_token": "<s>",
"clean_up_tokenization_spaces": true,
"do_lower_case": false,
"langs": [
"en",
"ru"
],
"model_max_length": 20,
"pad_token": "<pad>",
"sep_token": "</s>",
"special_tokens_map_file": null,
"tokenizer_class": "FSMTTokenizer",
"unk_token": "<unk>"
}
|