Text Classification
Transformers
Safetensors
Russian
English
bert
tiny-bert
rubert-tiny2
binary-classification
jobs
developer-classification
Eval Results (legacy)
text-embeddings-inference
Instructions to use AndreiTolmachev/dev_roles_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndreiTolmachev/dev_roles_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AndreiTolmachev/dev_roles_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AndreiTolmachev/dev_roles_1") model = AutoModelForSequenceClassification.from_pretrained("AndreiTolmachev/dev_roles_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 930c564a1945e0e161d3319f22a253368bbe1ffd08b4289fcf9c09f24963df67
- Size of remote file:
- 117 MB
- SHA256:
- 2fd2898ea4f24aa4b849eb6fc3f2c3ff4de31d6880faa759c8aedb71130826db
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