Instructions to use nmurugesh/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nmurugesh/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nmurugesh/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nmurugesh/dummy-model") model = AutoModelForMaskedLM.from_pretrained("nmurugesh/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from nmurugesh/dummy-model: direct link, hf CLI and curl.
- Browser
- Download file 543 MB
-
https://huggingface.co/nmurugesh/dummy-model/resolve/main/tf_model.h5
- Command line
-
hf download hf://nmurugesh/dummy-model/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/nmurugesh/dummy-model/resolve/main/tf_model.h5
543 MB
- Xet hash:
- 77eb0afaa2bc79f66e4231b352298315650a2a4a19d3255fc7483f0dab52e4f5
- Size of remote file:
- 543 MB
- SHA256:
- 404d2f8ad9eeaf2e8fe007a65da092d860ad687f0ced98ed14fc3187618a1583
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