Instructions to use DysfunctionalHuman/bert-allfeat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DysfunctionalHuman/bert-allfeat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DysfunctionalHuman/bert-allfeat")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DysfunctionalHuman/bert-allfeat") model = AutoModel.from_pretrained("DysfunctionalHuman/bert-allfeat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from DysfunctionalHuman/bert-allfeat: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/DysfunctionalHuman/bert-allfeat/resolve/main/tf_model.h5
- Command line
-
hf download hf://DysfunctionalHuman/bert-allfeat/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/DysfunctionalHuman/bert-allfeat/resolve/main/tf_model.h5
438 MB
- Xet hash:
- fba10cd3b475ecd2d2946687bd5e463808d13b69565ae8e04fff02cd1dd0c743
- Size of remote file:
- 438 MB
- SHA256:
- c99b790cfc43e95ed07acc7a07e281ea42d517a0636e7eb268b2c74dafc0a455
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