Instructions to use Finnish-NLP/convbert-base-finnish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Finnish-NLP/convbert-base-finnish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Finnish-NLP/convbert-base-finnish")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Finnish-NLP/convbert-base-finnish") model = AutoModel.from_pretrained("Finnish-NLP/convbert-base-finnish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from Finnish-NLP/convbert-base-finnish: direct link, hf CLI and curl.
- Browser
- Download file 484 MB
-
https://huggingface.co/Finnish-NLP/convbert-base-finnish/resolve/main/tf_model.h5
- Command line
-
hf download hf://Finnish-NLP/convbert-base-finnish/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Finnish-NLP/convbert-base-finnish/resolve/main/tf_model.h5
484 MB
- Xet hash:
- daed973b6e16f8109c79bc22cc31bb09c3b807212c3f5ae03c437162630636af
- Size of remote file:
- 484 MB
- SHA256:
- bd2dab1e8334107ef6e3a0a35a2283d38cf26e93a8ed7ed4cbea52849bddb2e8
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