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:
# pip install -U transformers accelerate # 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
Download tokenizer.json from ipipan/herbert-base-qa-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.56 MB
-
https://huggingface.co/ipipan/herbert-base-qa-v1/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://ipipan/herbert-base-qa-v1@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ipipan/herbert-base-qa-v1/resolve/refs%2Fpr%2F1/tokenizer.json
1.56 MB
File too large to display, you can check the raw version instead.