Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Trained with AutoTrain
text-embeddings-inference
Instructions to use NawinCom/BBC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NawinCom/BBC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NawinCom/BBC")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NawinCom/BBC") model = AutoModelForSequenceClassification.from_pretrained("NawinCom/BBC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
runs/Apr30_07-02-05_r-nawincom-textclass2-7adih043-2b405-4dip5/events.out.tfevents.1714460525.r-nawincom-textclass2-7adih043-2b405-4dip5.62.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bffdd6ad87b42a9704ca1a2f494cec8355d359fd0d50c8b56216e88df18e832f
|
| 3 |
+
size 4806
|