Instructions to use Rustem/roberta-base-trained-7epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rustem/roberta-base-trained-7epochs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Rustem/roberta-base-trained-7epochs")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Rustem/roberta-base-trained-7epochs") model = AutoModelForMaskedLM.from_pretrained("Rustem/roberta-base-trained-7epochs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Rustem/roberta-base-trained-7epochs: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/Rustem/roberta-base-trained-7epochs/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Rustem/roberta-base-trained-7epochs/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Rustem/roberta-base-trained-7epochs/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 2793e47801a4b24d32e65544ef15ef3a0524b24f746aaace745e8803ffdf7492
- Size of remote file:
- 499 MB
- SHA256:
- a5fd3a45c88b72a9b4c62fce769bba762c782c4e387dcd4cf66018635519b698
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