Instructions to use tau/splinter-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tau/splinter-base 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="tau/splinter-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("tau/splinter-base") model = AutoModelForQuestionAnswering.from_pretrained("tau/splinter-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from tau/splinter-base: direct link, hf CLI and curl.
- Browser
- Download file 145 Bytes
-
https://huggingface.co/tau/splinter-base/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://tau/splinter-base/special_tokens_map.json
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curl -L -o special_tokens_map.json https://huggingface.co/tau/splinter-base/resolve/main/special_tokens_map.json
145 Bytes
| {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "question_token": "[QUESTION]"} | |