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
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.84fd5d1
-
fixed model version
Moreno La Quatrab33589f
-
Update README.md
Moreno La Quatra7782257 -
Create README.md
Moreno La Quatra97ec586 -
add tokenizer
Moreno La Quatra7c4a194 -
add model
Moreno La Quatraced0c66 -
initial commit
Moreno La Quatra37047f5