Instructions to use nlpie/bio-miniALBERT-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpie/bio-miniALBERT-128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nlpie/bio-miniALBERT-128")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nlpie/bio-miniALBERT-128") model = AutoModelForMaskedLM.from_pretrained("nlpie/bio-miniALBERT-128") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6b9322fd6ffb3b880fb34b8bc6d20ae4c78d08574a0dccf9030d3a011ea9436
- Size of remote file:
- 141 MB
- SHA256:
- 7d7d0d78ad4108dc6728525081f4c832c47b46eac23ad256f724691567562817
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