Text Classification
Transformers
Safetensors
English
distilbert
command-classification
intent-detection
nlp
text-embeddings-inference
Instructions to use jhonacmarvik/distilbert-command-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhonacmarvik/distilbert-command-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jhonacmarvik/distilbert-command-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jhonacmarvik/distilbert-command-classifier") model = AutoModelForSequenceClassification.from_pretrained("jhonacmarvik/distilbert-command-classifier") - Notebooks
- Google Colab
- Kaggle
Initial upload of fine-tuned DistilBERT command classifier
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267832560
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a28d237eebd79684d09a0862a8b1d5935bde0f8420bdbfd7466571a79fc4601e
|
| 3 |
size 267832560
|