Instructions to use RajeevanL/DistilBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RajeevanL/DistilBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="RajeevanL/DistilBert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("RajeevanL/DistilBert") model = AutoModelForQuestionAnswering.from_pretrained("RajeevanL/DistilBert") - Notebooks
- Google Colab
- Kaggle
Upload DistilBertForQuestionAnswering
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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"_name_or_path": "/content/finetuned-tamil_Roberta/checkpoint-
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"activation": "gelu",
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"architectures": [
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"DistilBertForQuestionAnswering"
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{
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"_name_or_path": "/content/finetuned-tamil_Roberta/checkpoint-8",
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"activation": "gelu",
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"architectures": [
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"DistilBertForQuestionAnswering"
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:f4f400d2ce64469487535dd481d48aec2a649f384e51f2a5a6052c48920a866a
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size 538954840
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