Question Answering
Transformers
TensorBoard
Safetensors
English
longformer
Generated from Trainer
qsi
quote_speaker_identification
Eval Results (legacy)
Instructions to use Kkordik/test_longformer_4096_qsi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kkordik/test_longformer_4096_qsi 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="Kkordik/test_longformer_4096_qsi")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Kkordik/test_longformer_4096_qsi") model = AutoModelForQuestionAnswering.from_pretrained("Kkordik/test_longformer_4096_qsi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Kkordik/test_longformer_4096_qsi: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/Kkordik/test_longformer_4096_qsi/resolve/4389ada96f1169d2a3f7158d5a5c03a6052b260b/tokenizer.json
- Command line
-
hf download hf://Kkordik/test_longformer_4096_qsi@4389ada96f1169d2a3f7158d5a5c03a6052b260b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Kkordik/test_longformer_4096_qsi/resolve/4389ada96f1169d2a3f7158d5a5c03a6052b260b/tokenizer.json
2.11 MB
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