Instructions to use EndlessRecurrence/rasa-diet-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndlessRecurrence/rasa-diet-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndlessRecurrence/rasa-diet-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndlessRecurrence/rasa-diet-classifier") model = AutoModelForSequenceClassification.from_pretrained("EndlessRecurrence/rasa-diet-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 10
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 433289224
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:451de3c6e099f2bf61ef2ba6a0d06519a5547c7da374ba19242e798d59635b73
|
| 3 |
size 433289224
|
runs/May07_13-10-58_pop-os/events.out.tfevents.1715076659.pop-os.139421.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:209542b26422ab27ca5baea8665ae689dfbeb45f17e89acd3e97a63e681d79d2
|
| 3 |
+
size 4184
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4984
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:66b009c74d931bd8822c4ab0c7d7bfb3f6293a8070359439818a07a106fa16fb
|
| 3 |
size 4984
|