Text Classification
Transformers
PyTorch
Safetensors
English
bert
regression
text-embeddings-inference
Instructions to use morenolq/thext-cs-scibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use morenolq/thext-cs-scibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="morenolq/thext-cs-scibert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("morenolq/thext-cs-scibert") model = AutoModelForSequenceClassification.from_pretrained("morenolq/thext-cs-scibert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52f16b57cf9a95d15f04e70768d264e049f61c4797e87ed0a7a5e07d39aedee9
- Size of remote file:
- 440 MB
- SHA256:
- e4e1d031435e87186a0c34cdab9ad81fe8c828d48bb4be589f9798e87b2ff167
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