Instructions to use chefkoch24/weak-ingredient-recognition-bert-base-cased-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chefkoch24/weak-ingredient-recognition-bert-base-cased-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chefkoch24/weak-ingredient-recognition-bert-base-cased-german")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chefkoch24/weak-ingredient-recognition-bert-base-cased-german") model = AutoModelForTokenClassification.from_pretrained("chefkoch24/weak-ingredient-recognition-bert-base-cased-german") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:434ccdc870e0f2795f17ea8c6b62d167b435e6e036e93513264092e50f8e2b12
|
| 3 |
+
size 434012068
|