Instructions to use hf-tiny-model-private/tiny-random-LongformerForMaskedLM 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-LongformerForMaskedLM 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-LongformerForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-LongformerForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-tiny-model-private/tiny-random-LongformerForMaskedLM") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
c131a19 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:965558b10e953cb9b9c64416019dc3235092fe2161ae16c32403f7620c51455e
size 420716
|