Instructions to use malteos/specter-wol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malteos/specter-wol with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="malteos/specter-wol")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("malteos/specter-wol") model = AutoModel.from_pretrained("malteos/specter-wol", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bea9947db5f4014ca5e65de37af08f75d3b5a1208fdd12a4d43bd0514d5f613f
- Size of remote file:
- 18.5 MB
- SHA256:
- 773ea12840cbbf9b927aea8e66231bcd0a2b78d4588bae18af53b523274cae70
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