Instructions to use hf-internal-testing/tiny-plbart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-plbart with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-plbart")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-plbart") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-plbart") - Notebooks
- Google Colab
- Kaggle
File size: 518 Bytes
d156aa4 | 1 | {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "language_codes": "base", "src_lang": null, "tgt_lang": null, "additional_special_tokens": null, "sp_model_kwargs": {}, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "uclanlp/plbart-base", "tokenizer_class": "PLBartTokenizer"} |