Instructions to use sramasamy8/testModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sramasamy8/testModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sramasamy8/testModel")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sramasamy8/testModel") model = AutoModelForMaskedLM.from_pretrained("sramasamy8/testModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Size of remote file:
- 440 MB
- SHA256:
- 097417381d6c7230bd9e3557456d726de6e83245ec8b24f529f60198a67b203a
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