Instructions to use kugler/gbert-large-AmDi.tiny-synset-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kugler/gbert-large-AmDi.tiny-synset-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kugler/gbert-large-AmDi.tiny-synset-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kugler/gbert-large-AmDi.tiny-synset-classifier") model = AutoModelForSequenceClassification.from_pretrained("kugler/gbert-large-AmDi.tiny-synset-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from kugler/gbert-large-AmDi.tiny-synset-classifier: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/kugler/gbert-large-AmDi.tiny-synset-classifier/resolve/main/model.safetensors
- Command line
-
hf download hf://kugler/gbert-large-AmDi.tiny-synset-classifier/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/kugler/gbert-large-AmDi.tiny-synset-classifier/resolve/main/model.safetensors
1.34 GB
- Xet hash:
- 0a7321f65c098b77f14ce66636c469a082b3b9efb78413f016262d3b017ce292
- Size of remote file:
- 1.34 GB
- SHA256:
- 2f28a321bd43f053daf6fbfff6965b58fabd767425c40672dd34503d3bcbc72a
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