Instructions to use tyavika/Tya-Distilbert-CNN256LSTM128-Pytorch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tyavika/Tya-Distilbert-CNN256LSTM128-Pytorch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="tyavika/Tya-Distilbert-CNN256LSTM128-Pytorch")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("tyavika/Tya-Distilbert-CNN256LSTM128-Pytorch") model = AutoModelForQuestionAnswering.from_pretrained("tyavika/Tya-Distilbert-CNN256LSTM128-Pytorch") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:53948d20ca35c86077a60c1b10895cff6d80477f95f49ed405ec6fa2c0f88991
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size 269673752
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