Instructions to use Maxscha/bert-test-aligned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maxscha/bert-test-aligned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Maxscha/bert-test-aligned", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Maxscha/bert-test-aligned", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("Maxscha/bert-test-aligned", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model-00002-of-00002.bin from Maxscha/bert-test-aligned: direct link, hf CLI and curl.
- Browser
- Download file 944 MB
-
https://huggingface.co/Maxscha/bert-test-aligned/resolve/main/pytorch_model-00002-of-00002.bin
- Command line
-
hf download hf://Maxscha/bert-test-aligned/pytorch_model-00002-of-00002.bin
-
curl -L -o pytorch_model-00002-of-00002.bin https://huggingface.co/Maxscha/bert-test-aligned/resolve/main/pytorch_model-00002-of-00002.bin
944 MB
- Xet hash:
- 96c1dad94a177413d01b29cbb6c6ff4ea5d428dd53dde6f71497e33ef597a57c
- Size of remote file:
- 944 MB
- SHA256:
- ca4a36d0df84a237ec3241f4bf1fe5fb4ed6a02c0043fa321156e2552a59a66a
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