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
Delete folder checkpoint-13000 with huggingface_hub
Browse files- checkpoint-13000/config.json +0 -36
- checkpoint-13000/model.safetensors +0 -3
- checkpoint-13000/optimizer.pt +0 -3
- checkpoint-13000/rng_state.pth +0 -3
- checkpoint-13000/scaler.pt +0 -3
- checkpoint-13000/scheduler.pt +0 -3
- checkpoint-13000/tokenizer.json +0 -0
- checkpoint-13000/tokenizer_config.json +0 -16
- checkpoint-13000/trainer_state.json +0 -615
- checkpoint-13000/training_args.bin +0 -3
checkpoint-13000/config.json
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checkpoint-13000/training_args.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:39853abe7c212a05cd37a6042b4d1c2f33b18beabbb723de8075009a188aad0f
|
| 3 |
-
size 5201
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