Instructions to use T0KII/MASRIBERTV4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use T0KII/MASRIBERTV4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="T0KII/MASRIBERTV4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("T0KII/MASRIBERTV4") model = AutoModelForMaskedLM.from_pretrained("T0KII/MASRIBERTV4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-21500/optimizer.pt from T0KII/MASRIBERTV4: direct link, hf CLI and curl.
- Browser
- Download file 1.92 GB
-
https://huggingface.co/T0KII/MASRIBERTV4/resolve/main/checkpoint-21500/optimizer.pt
- Command line
-
hf download hf://T0KII/MASRIBERTV4/checkpoint-21500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/T0KII/MASRIBERTV4/resolve/main/checkpoint-21500/optimizer.pt
1.92 GB
- Xet hash:
- e4fba7fb686b860fd7af70f1e7a750d33df513783ff1da2d901660702446cb94
- Size of remote file:
- 1.92 GB
- SHA256:
- 16537889cbb12a55b3a83b57809be622f5eab42ff1d74f940f4d5c9a954655ee
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