Instructions to use deutsche-telekom/bert-multi-english-german-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deutsche-telekom/bert-multi-english-german-squad2 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="deutsche-telekom/bert-multi-english-german-squad2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deutsche-telekom/bert-multi-english-german-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deutsche-telekom/bert-multi-english-german-squad2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from deutsche-telekom/bert-multi-english-german-squad2: direct link, hf CLI and curl.
- Browser
- Download file 112 Bytes
-
https://huggingface.co/deutsche-telekom/bert-multi-english-german-squad2/resolve/11bc55aa76ceefd80620be05f3ed36be5ea90e5d/special_tokens_map.json
- Command line
-
hf download hf://deutsche-telekom/bert-multi-english-german-squad2@11bc55aa76ceefd80620be05f3ed36be5ea90e5d/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/deutsche-telekom/bert-multi-english-german-squad2/resolve/11bc55aa76ceefd80620be05f3ed36be5ea90e5d/special_tokens_map.json
112 Bytes
| {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"} |