Instructions to use SharedBailii/PT-distilbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SharedBailii/PT-distilbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SharedBailii/PT-distilbert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SharedBailii/PT-distilbert-base") model = AutoModelForMaskedLM.from_pretrained("SharedBailii/PT-distilbert-base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a0b4dc3436d1ad1c6a1304aa9a05bd414815ed457e21abf8daf987fe044bbe3c
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size 267954840
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