Instructions to use nlpunibo/roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpunibo/roberta 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="nlpunibo/roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nlpunibo/roberta") model = AutoModelForQuestionAnswering.from_pretrained("nlpunibo/roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from nlpunibo/roberta: direct link, hf CLI and curl.
- Browser
- Download file 255 Bytes
-
https://huggingface.co/nlpunibo/roberta/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://nlpunibo/roberta/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/nlpunibo/roberta/resolve/main/tokenizer_config.json
255 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, "name_or_path": "roberta-base"} |