Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Imxxn/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Imxxn/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Imxxn/model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Imxxn/model") model = AutoModelForSequenceClassification.from_pretrained("Imxxn/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9504db617eace358ed3c14f496beef62b704a67f754504782ad81fda262800fc
- Size of remote file:
- 4.98 kB
- SHA256:
- d881dbb58225f42468bfe11313b1a30d838ad612fa61aa3c9b1447a14a42d1d9
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