Instructions to use spurry/bert-large-V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spurry/bert-large-V3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="spurry/bert-large-V3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("spurry/bert-large-V3") model = AutoModelForSequenceClassification.from_pretrained("spurry/bert-large-V3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eada54c6c3bd40251b8a1a38df70710d416f51c80f6f06632525dc2f0aa765bb
- Size of remote file:
- 1.34 GB
- SHA256:
- 57e2eb5a8ed293e646c7b6238ef0566034494b6e4c348dfa4d67ffb019405882
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