Instructions to use imvladikon/hebert_parashoot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imvladikon/hebert_parashoot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="imvladikon/hebert_parashoot")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("imvladikon/hebert_parashoot") model = AutoModelForQuestionAnswering.from_pretrained("imvladikon/hebert_parashoot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 7e196a5
Model save
Browse files
pytorch_model.bin
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runs/Aug02_07-10-45_24587ddd3d77/events.out.tfevents.1690960255.24587ddd3d77.5509.0
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