Instructions to use DioLiu/distilroberta-base-test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DioLiu/distilroberta-base-test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DioLiu/distilroberta-base-test1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DioLiu/distilroberta-base-test1") model = AutoModelForMaskedLM.from_pretrained("DioLiu/distilroberta-base-test1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from DioLiu/distilroberta-base-test1: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/DioLiu/distilroberta-base-test1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DioLiu/distilroberta-base-test1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DioLiu/distilroberta-base-test1/resolve/main/pytorch_model.bin
329 MB
- Xet hash:
- 4feaf9a6e9feaf397f2345d89ae6359b357aa172faa0122297571e3fa878c7b4
- Size of remote file:
- 329 MB
- SHA256:
- 6813ef3687e9b59d2f1f293ad21c1db92541eaa76810c5acd5ae0f1357dc4b34
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