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:
- fd9c9b0de242d052c551dd20bb7c63ddd31dd2d1b8c5b38d8fb75d2afecf2cdc
- Size of remote file:
- 3.38 kB
- SHA256:
- 4c46f7d65920b28424ceae86686506174090fe4db1ca34e06960f18f123deeb0
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