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 from transformers import pipeline pipe = pipeline("question-answering", model="Kkordik/test_longformer_4096_qsi")# 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
- Xet hash:
- 914de2de738356e76ad731e092b8b21d3c35eb491c7a500d2380a39c7a072c67
- Size of remote file:
- 4.6 kB
- SHA256:
- 64af3cbaeb156e4fe57cc254c7b9de3f4bdc452b22a66fea2b5a9459401567dd
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