Instructions to use VMware/tinyroberta-mrqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VMware/tinyroberta-mrqa 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="VMware/tinyroberta-mrqa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("VMware/tinyroberta-mrqa") model = AutoModelForQuestionAnswering.from_pretrained("VMware/tinyroberta-mrqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from VMware/tinyroberta-mrqa: direct link, hf CLI and curl.
- Browser
- Download file 435 Bytes
-
https://huggingface.co/VMware/tinyroberta-mrqa/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://VMware/tinyroberta-mrqa/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/VMware/tinyroberta-mrqa/resolve/main/tokenizer_config.json
435 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "errors": "replace", | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "name_or_path": "/home/jovyan/tiny-roberta/deepset-tinyroberta/tinyroberta_mrqa_stg2", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "RobertaTokenizer", | |
| "trim_offsets": true, | |
| "unk_token": "<unk>" | |
| } | |