Text Classification
sentence-transformers
Safetensors
Transformers
English
mobilebert
natural-language-inference
nlp
model-card
Instructions to use agentlans/mobilebert-uncased-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use agentlans/mobilebert-uncased-nli with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("agentlans/mobilebert-uncased-nli") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use agentlans/mobilebert-uncased-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agentlans/mobilebert-uncased-nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agentlans/mobilebert-uncased-nli") model = AutoModelForSequenceClassification.from_pretrained("agentlans/mobilebert-uncased-nli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from agentlans/mobilebert-uncased-nli: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/agentlans/mobilebert-uncased-nli/resolve/main/training_args.bin
- Command line
-
hf download hf://agentlans/mobilebert-uncased-nli/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/agentlans/mobilebert-uncased-nli/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 081b55f98c59c87af33a085e8560a56e1cd1cff7617d74901651e3fc1ce9025e
- Size of remote file:
- 5.18 kB
- SHA256:
- aa79b243ad52b4293d04df8a81935052f46aea9d913649061f397c49f27f1c36
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