Instructions to use khanhbk20/mrc_dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khanhbk20/mrc_dev with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" 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("question-answering", model="khanhbk20/mrc_dev")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("khanhbk20/mrc_dev") model = AutoModel.from_pretrained("khanhbk20/mrc_dev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from khanhbk20/mrc_dev: direct link, hf CLI and curl.
- Browser
- Download file 456 Bytes
-
https://huggingface.co/khanhbk20/mrc_dev/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://khanhbk20/mrc_dev/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/khanhbk20/mrc_dev/resolve/main/tokenizer_config.json
456 Bytes
| { | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "__type": "AddedToken", | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "model_max_length": 512, | |
| "name_or_path": "khanhbk20/mrc_testing", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "XLMRobertaTokenizer", | |
| "unk_token": "<unk>" | |
| } | |