Instructions to use hf-internal-testing/tiny-random-FSMTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FSMTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-FSMTModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FSMTModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-FSMTModel") - Notebooks
- Google Colab
- Kaggle
File size: 300 Bytes
683f6f7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"bos_token": "<s>",
"do_lower_case": false,
"langs": [
"en",
"ru"
],
"model_max_length": 20,
"name_or_path": "facebook/wmt19-en-ru",
"pad_token": "<pad>",
"sep_token": "</s>",
"special_tokens_map_file": null,
"tokenizer_class": "FSMTTokenizer",
"unk_token": "<unk>"
}
|