Sentence Similarity
Transformers
PyTorch
Safetensors
Polish
bert
feature-extraction
text-embeddings-inference
Instructions to use ipipan/herbert-base-qa-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ipipan/herbert-base-qa-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ipipan/herbert-base-qa-v1") model = AutoModel.from_pretrained("ipipan/herbert-base-qa-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d971ac276e884f7d0dc3c0a4d5ccc40e770bdef22df30039f01a9b68a1d0b95
- Size of remote file:
- 498 MB
- SHA256:
- c22c554c0041d0a38b31f4a5f6944d9f4dc2c48b821c49819c2eb50e0e0f1a46
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