Instructions to use hf-tiny-model-private/tiny-random-RobertaForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-RobertaForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-tiny-model-private/tiny-random-RobertaForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RobertaForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-tiny-model-private/tiny-random-RobertaForMaskedLM") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
cd78cf9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6bb8b4424d800339a2cb23c8324ca19a59412007c218a72d1a42729692907ee9
size 678416
|