Instructions to use subbareddyiiit/TeElectra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subbareddyiiit/TeElectra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="subbareddyiiit/TeElectra")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("subbareddyiiit/TeElectra") model = AutoModelForMaskedLM.from_pretrained("subbareddyiiit/TeElectra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.600c814
-
Update pytorch_model.bin
5ec4c5d
-
Update vocab.txt
8833bff -
Update model.ckpt-70000.data-00000-of-00001
7f858ce -
Update model.ckpt-70000.meta
8ea01f0 -
Update config.json
9396460 -
Update model.ckpt-70000.index
9182e8d -
initial commit
0afa724