Instructions to use Billwzl/20split_dataset_version3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Billwzl/20split_dataset_version3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Billwzl/20split_dataset_version3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Billwzl/20split_dataset_version3") model = AutoModelForMaskedLM.from_pretrained("Billwzl/20split_dataset_version3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7140fc1e7520a8ea96e23b695eb25d5ef3032c4509dbc268b4d7bcb4b21f92f4
- Size of remote file:
- 3.38 kB
- SHA256:
- dfeab7a2e12c5c0977715c101d412168c763cfd74fbe41eedeefef50c10e049c
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