Instructions to use AlanYR/mpr_tuned_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanYR/mpr_tuned_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AlanYR/mpr_tuned_bert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AlanYR/mpr_tuned_bert") model = AutoModel.from_pretrained("AlanYR/mpr_tuned_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c0919af4620bc4c2668c5e24cc7d2f2db05809b05fabb3ec67c2ded8c01c12f
- Size of remote file:
- 711 MB
- SHA256:
- 5708023bdb152597fd0d266f8283ccfed5035cce92e5605d0345f35631c1f922
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