Text Classification
Transformers
PyTorch
Safetensors
English
bert
regression
text-embeddings-inference
Instructions to use morenolq/thext-bio-scibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use morenolq/thext-bio-scibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="morenolq/thext-bio-scibert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("morenolq/thext-bio-scibert") model = AutoModelForSequenceClassification.from_pretrained("morenolq/thext-bio-scibert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from morenolq/thext-bio-scibert: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/morenolq/thext-bio-scibert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://morenolq/thext-bio-scibert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/morenolq/thext-bio-scibert/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- 0ba074cf5bd085474eb8c8940dd99eebefecdaaf0f452d73450551af22b0531d
- Size of remote file:
- 440 MB
- SHA256:
- 572180546b37d2450456fe8706b1098bade25cabbc978e8f6794e05838d016ac
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