Instructions to use research-backup/relbert-old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-backup/relbert-old with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="research-backup/relbert-old")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("research-backup/relbert-old") model = AutoModel.from_pretrained("research-backup/relbert-old", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c310008eea3769edba4810f0424ad4347bae3b094a3360689d7f6aacd940ddd
- Size of remote file:
- 1.42 GB
- SHA256:
- b21396e4b870bb50cb843a295a8454a7060248fcf9a8e0a179b7d7cf109d41b9
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