Instructions to use arver/small_distilbert_5epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arver/small_distilbert_5epochs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="arver/small_distilbert_5epochs")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("arver/small_distilbert_5epochs") model = AutoModelForQuestionAnswering.from_pretrained("arver/small_distilbert_5epochs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61c03634832ba887b105a9f0d518b9a814d3289bab6031004bfe6166f82f65d6
- Size of remote file:
- 90.3 MB
- SHA256:
- 9e41deb0f3e5708b0ec38a532fb131a705ec84a31f1793ff873481d488c81bec
路
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