50 lines
1.2 KiB
Plaintext
50 lines
1.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "1f2ed49d-7873-4a03-bdc8-bda1c23cb979",
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"metadata": {},
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"source": [
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"# HuggingFace pipelines\n",
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"\n",
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"For this session we head to Google Colab and use this Notebook to explore the HuggingFace High Level API, pipelines.\n",
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"\n",
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"https://colab.research.google.com/drive/1aMaEw8A56xs0bRM4lu8z7ou18jqyybGm?usp=sharing\n",
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"\n",
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"You can use a low cost (or free) T4 GPU runtime for this notebook - and the results look great!\n",
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"\n",
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"There are instructions in the notebook for setting up your HuggingFace Token and including it as a secret in the notebook."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d5d84b78-0a02-4a35-8f10-e3f7451d352f",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.11"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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