Instructions to use aytugkaya/python-gpt2-large-issues-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aytugkaya/python-gpt2-large-issues-128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aytugkaya/python-gpt2-large-issues-128")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aytugkaya/python-gpt2-large-issues-128") model = AutoModelForMaskedLM.from_pretrained("aytugkaya/python-gpt2-large-issues-128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f29e7df800e2b5bc61462c2a50cb303c9de4dd1f4c260078ae026917ee303837
- Size of remote file:
- 438 MB
- SHA256:
- 9763fa1be6f50c307113739356c8ffb7f8d480902fb63bc09f3111ef4c7b5bd3
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