Instructions to use aseifert/distilbert-casing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aseifert/distilbert-casing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aseifert/distilbert-casing")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aseifert/distilbert-casing") model = AutoModelForTokenClassification.from_pretrained("aseifert/distilbert-casing", 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.bea96c4
-
Update eval_results.txt
1c532d6 -
Update pytorch_model.bin
cf9aa93 -
Update vocab.txt
167c6cf -
Update training_args.bin
078e915 -
Update config.json
8115b3e -
Update special_tokens_map.json
e0b4acc -
Update tokenizer_config.json
e9c2d74 -
Update eval_results.txt
717a038 -
Update vocab.txt
6265f34 -
Update config.json
23702ed -
Update special_tokens_map.json
f2ea245 -
Update tokenizer_config.json
acc4caf -
initial commit
ca92a30