Instructions to use deepset/tinyroberta-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/tinyroberta-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/tinyroberta-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/tinyroberta-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/tinyroberta-squad2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from deepset/tinyroberta-squad2: direct link, hf CLI and curl.
- Browser
- Download file 383 Bytes
-
https://huggingface.co/deepset/tinyroberta-squad2/resolve/refs%2Fpr%2F4/tokenizer_config.json
- Command line
-
hf download hf://deepset/tinyroberta-squad2@refs/pr/4/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/deepset/tinyroberta-squad2/resolve/refs%2Fpr%2F4/tokenizer_config.json
383 Bytes
| {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "../../saved_models/MichelBartels/tinyroberta-6l-768d-finetuned-step1", "tokenizer_class": "RobertaTokenizer"} |