Instructions to use Billwzl/20split_dataset_version1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Billwzl/20split_dataset_version1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Billwzl/20split_dataset_version1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Billwzl/20split_dataset_version1") model = AutoModelForMaskedLM.from_pretrained("Billwzl/20split_dataset_version1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dfee671fc0ac037f0403e59b7b5500f8c5dfea5e7a3c93dc69e7ddc4026c870
- Size of remote file:
- 268 MB
- SHA256:
- 01a64c6ba360d48e3e2f37ee70b373054bb8052ac08679ed1652b3c4eb1e9c4f
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