Instructions to use ltuzova/amazon_domain_pretrained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltuzova/amazon_domain_pretrained_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ltuzova/amazon_domain_pretrained_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ltuzova/amazon_domain_pretrained_model") model = AutoModelForMaskedLM.from_pretrained("ltuzova/amazon_domain_pretrained_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ltuzova/amazon_domain_pretrained_model: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/ltuzova/amazon_domain_pretrained_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ltuzova/amazon_domain_pretrained_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ltuzova/amazon_domain_pretrained_model/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- e48667dafe22c3ea8ea0c9ea8cb63beb198efb89bbb226e1581b64c1fee62545
- Size of remote file:
- 499 MB
- SHA256:
- 31e3e1a2df5dccb34240dbd4d249cb13a1090f69657d17e4b70b696d72a300a0
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