Instructions to use hf-tiny-model-private/tiny-random-ElectraForMaskedLM 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-ElectraForMaskedLM 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-ElectraForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ElectraForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-tiny-model-private/tiny-random-ElectraForMaskedLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
c6ce58e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b27cc4b2f146ca4dd54c80845b31d73684284e32d44ed388848991e1f1aea61c
size 1036124
|