Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use roymgabriel/trial-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roymgabriel/trial-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roymgabriel/trial-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roymgabriel/trial-model") model = AutoModelForSequenceClassification.from_pretrained("roymgabriel/trial-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from roymgabriel/trial-model: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/roymgabriel/trial-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://roymgabriel/trial-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/roymgabriel/trial-model/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- cf68765f751bb050e5c1e0ac722634a8a40731016b04f633811d2f56c1876eb5
- Size of remote file:
- 499 MB
- SHA256:
- 48c7cc7b42c8a02633833ec012a7779dbf3baf947462d91a0f8ca584c9fd321e
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