Text Classification
Transformers
PyTorch
English
distilbert
distilbert-base-uncased-finetuned-sst-2-english
Instructions to use rosherd/job_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rosherd/job_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rosherd/job_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rosherd/job_classification") model = AutoModelForSequenceClassification.from_pretrained("rosherd/job_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
26bdbbe -
Upload DistilBertForSequenceClassification
7280b6f
-
Upload DistilBertForSequenceClassification
1bf09a3
-
Update README.md
ca16315 -
Update README.md
3c44917 -
Update README.md
bdf4fbf -
Upload DistilBertForSequenceClassification
af08f50 -
Update README.md
ec66b4d -
Upload DistilBertForSequenceClassification
0428ef1 -
Update README.md
42789e3 -
Update README.md
1eb2952 -
Upload DistilBertForSequenceClassification
b083c2f -
Update README.md
b7f0657 -
Update README.md
4b13037 -
Update README.md
eabdb8e -
Update README.md
95a35a9 -
Update README.md
20347d7 -
Create README.md
5f476b0 -
Upload tokenizer.json
45f437b -
Upload DistilBertForSequenceClassification
8ea7ed3 -
initial commit
2f79c2b