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
051465f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5a2e346ba80b147492055c677a0f03be037defea9aa2c8434e193463dad0a5e2
size 1055624
|