Instructions to use RamWithAPlan/BertPlusYelpData with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RamWithAPlan/BertPlusYelpData with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RamWithAPlan/BertPlusYelpData")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RamWithAPlan/BertPlusYelpData") model = AutoModelForSequenceClassification.from_pretrained("RamWithAPlan/BertPlusYelpData", device_map="auto") - 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 sha256:8c7ce5b0dcaf4365dec387fb752a2b7d56495d339bddd5c34bc3961038e4a1c1
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size 433284180
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