Instructions to use Narsil/small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narsil/small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Narsil/small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Narsil/small") model = AutoModelForTokenClassification.from_pretrained("Narsil/small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
allow flax
76f3cd7
-
allow flax
2cd536b
-
More test files (tokenizers).
7bf46af -
Adding unigram.json (tokenizers test file).
9e74192
-
New modif on public.
2332e37 -
again.
40dd943
-
Just trigger purge.
bdd6ece
-
Adding a readme.
b255baf
-
Update tokenizer_config.json
c7e4c97 -
Update tf_model.h5
75fe244 -
Update special_tokens_map.json
b3a43e3 -
Update vocab.txt
02107f5 -
Update config.json
1928ca1 -
initial commit
f4dcd7a