Instructions to use ashraq/dv-electra-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashraq/dv-electra-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ashraq/dv-electra-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ashraq/dv-electra-small") model = AutoModelForMaskedLM.from_pretrained("ashraq/dv-electra-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c56a53c06f3bbd9116a5b6ecaea2a6bedaaa3a20873141861edc0dff8be8077
- Size of remote file:
- 54 MB
- SHA256:
- 21b2b36701c0c8b562db7e55c861fe054df45d42997990fd5973b7af4cee85b5
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