Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use arjuntheprogrammer/distilbert-base-uncased-text-classification-v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arjuntheprogrammer/distilbert-base-uncased-text-classification-v6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arjuntheprogrammer/distilbert-base-uncased-text-classification-v6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arjuntheprogrammer/distilbert-base-uncased-text-classification-v6") model = AutoModelForSequenceClassification.from_pretrained("arjuntheprogrammer/distilbert-base-uncased-text-classification-v6") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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:b7dad912eafe2851737b0c92f7c89394753f06367d556037c86f0610da73eac5
|
| 3 |
+
size 267921780
|