Instructions to use DANI001/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DANI001/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DANI001/model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DANI001/model") model = AutoModelForMaskedLM.from_pretrained("DANI001/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from DANI001/model: direct link, hf CLI and curl.
- Browser
- Download file 2.25 GB
-
https://huggingface.co/DANI001/model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DANI001/model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DANI001/model/resolve/main/pytorch_model.bin
2.25 GB
- Xet hash:
- 03702e13d70ee8a14ac1870868aa80213c486a21a464217ad6c5ceb29e47596e
- Size of remote file:
- 2.25 GB
- SHA256:
- 600d8fd4ce0cfa1280c1c986a5d49cee68eb5dab156e873d3f2218c0c5d30c0e
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