Instructions to use khanhbk20/mrc_testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khanhbk20/mrc_testing 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_testing")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("khanhbk20/mrc_testing") model = AutoModelForQuestionAnswering.from_pretrained("khanhbk20/mrc_testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from khanhbk20/mrc_testing: direct link, hf CLI and curl.
- Browser
- Download file 398 Bytes
-
https://huggingface.co/khanhbk20/mrc_testing/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://khanhbk20/mrc_testing/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/khanhbk20/mrc_testing/resolve/main/tokenizer_config.json
398 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "xlm-roberta-base", "tokenizer_class": "XLMRobertaTokenizer"} |