Instructions to use Splend1dchan/canine-s-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Splend1dchan/canine-s-squad 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="Splend1dchan/canine-s-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Splend1dchan/canine-s-squad") model = AutoModelForQuestionAnswering.from_pretrained("Splend1dchan/canine-s-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from Splend1dchan/canine-s-squad: direct link, hf CLI and curl.
- Browser
- Download file 657 Bytes
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https://huggingface.co/Splend1dchan/canine-s-squad/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://Splend1dchan/canine-s-squad/special_tokens_map.json
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curl -L -o special_tokens_map.json https://huggingface.co/Splend1dchan/canine-s-squad/resolve/main/special_tokens_map.json
657 Bytes
| {"bos_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "sep_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "pad_token": {"content": "\u0000", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "cls_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "mask_token": {"content": "", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}} |