Instructions to use AnonymousSub/specter-bert-model_copy_wikiqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/specter-bert-model_copy_wikiqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousSub/specter-bert-model_copy_wikiqa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/specter-bert-model_copy_wikiqa") model = AutoModelForSequenceClassification.from_pretrained("AnonymousSub/specter-bert-model_copy_wikiqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 956f10af10b5546f282382a09cdc503607863e036b004e726ea37f7ab3baf1f8
- Size of remote file:
- 438 MB
- SHA256:
- 469153102d90f677f17c013a5038aa0287de57a8aa35aa0b02112056f3394511
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.