Instructions to use tennessejoyce/titlewave-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tennessejoyce/titlewave-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tennessejoyce/titlewave-bert-base-uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tennessejoyce/titlewave-bert-base-uncased") model = AutoModelForSequenceClassification.from_pretrained("tennessejoyce/titlewave-bert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from tennessejoyce/titlewave-bert-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/tennessejoyce/titlewave-bert-base-uncased/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://tennessejoyce/titlewave-bert-base-uncased/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/tennessejoyce/titlewave-bert-base-uncased/resolve/main/flax_model.msgpack
438 MB
- Xet hash:
- 05f62bed41a2461482b6e6a8aa0eb293e19422712bd6c4527767d497844ec314
- Size of remote file:
- 438 MB
- SHA256:
- 737fa94cc21ab6a0b2c22bc2cc0c5341f0fc8c71bd338df4cc382028583517c5
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