Instructions to use m3hrdadfi/bert2bert-fa-wiki-summary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3hrdadfi/bert2bert-fa-wiki-summary with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="m3hrdadfi/bert2bert-fa-wiki-summary")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("m3hrdadfi/bert2bert-fa-wiki-summary") model = AutoModelForSeq2SeqLM.from_pretrained("m3hrdadfi/bert2bert-fa-wiki-summary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_lower_case": true, | |
| "unk_token": "[UNK]", | |
| "sep_token": "[SEP]", | |
| "pad_token": "[PAD]", | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "tokenize_chinese_chars": true, | |
| "strip_accents": null, | |
| "model_max_length": 512, | |
| "name_or_path": "HooshvareLab/bert-fa-base-uncased" | |
| } |