Instructions to use hackertec/dummy2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hackertec/dummy2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hackertec/dummy2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hackertec/dummy2") model = AutoModelForMaskedLM.from_pretrained("hackertec/dummy2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hackertec/dummy2: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/hackertec/dummy2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hackertec/dummy2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hackertec/dummy2/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- 6a63c753877e5473763f1024cf401ff81f005259f51aab855cb18b63f5982bc1
- Size of remote file:
- 443 MB
- SHA256:
- 44c0e284056e40c691db9f54c0502df836365769cb2d64c7d60d0e50a21a9b45
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