Instructions to use hf-internal-testing/tiny-random-MegatronBertForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MegatronBertForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-internal-testing/tiny-random-MegatronBertForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MegatronBertForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-internal-testing/tiny-random-MegatronBertForMaskedLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
2ed25e2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:704bfb9d60d3d60ce3c04c91565742e23185015ae87a8569222e49366957f9be
size 912770
|