Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use eskayML/interview_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eskayML/interview_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eskayML/interview_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eskayML/interview_classifier") model = AutoModelForSequenceClassification.from_pretrained("eskayML/interview_classifier") - Notebooks
- Google Colab
- Kaggle
Delete model.safetensors
Browse files- model.safetensors +0 -3
model.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:fd541cb13a9b3f0a7293f069e49f8153c843a6bbb12e6d03c54fe018f34d7a8d
|
| 3 |
-
size 267857176
|
|
|
|
|
|
|
|
|
|
|
|