Instructions to use ComCom/gpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ComCom/gpt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ComCom/gpt2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ComCom/gpt2") model = AutoModel.from_pretrained("ComCom/gpt2") - Notebooks
- Google Colab
- Kaggle
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ํด๋น ๋ชจ๋ธ์ [ํด๋น ์ฌ์ดํธ](https://huggingface.co/gpt2)์์ ๊ฐ์ ธ์จ ๋ชจ๋ธ์
๋๋ค.
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ํด๋น ๋ชจ๋ธ์ [Teachable NLP](https://ainize.ai/teachable-nlp) ์๋น์ค์์ ์ฌ์ฉ๋ฉ๋๋ค.
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ํด๋น ๋ชจ๋ธ์ [ํด๋น ์ฌ์ดํธ](https://huggingface.co/gpt2)์์ ๊ฐ์ ธ์จ ๋ชจ๋ธ์
๋๋ค.
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ํด๋น ๋ชจ๋ธ์ [Teachable NLP](https://ainize.ai/teachable-nlp) ์๋น์ค์์ ์ฌ์ฉ๋ฉ๋๋ค.
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