Text Classification
Transformers
Safetensors
bert
Sentiment Analysis
DistilBERT
Text Classification
Hotel Reviews
text-embeddings-inference
Instructions to use kmack/HotelReviewClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kmack/HotelReviewClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kmack/HotelReviewClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kmack/HotelReviewClassifier") model = AutoModelForSequenceClassification.from_pretrained("kmack/HotelReviewClassifier") - Notebooks
- Google Colab
- Kaggle
Upload model.safetensors with huggingface_hub
Browse files- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d37c94cd98c9ef2eba88d4846f178c4ecf8da1db35f21264b6ed0804a95c3479
|
| 3 |
+
size 437958648
|