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FinanceGPT Model Hub

Pipeline · all-MiniLM-L6-v2

Copy-ready local Transformers and Sentence Transformers usage plus the equivalent governed FinanceGPT task endpoint.

TaskModel
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Transformers pipeline

Pinned revision, Safetensors preference and trust_remote_code=false remain part of the developer contract.
from transformers import pipeline

extractor = pipeline(
    "feature-extraction",
    model="sentence-transformers/all-MiniLM-L6-v2",
    revision="ea78891063587eb050ed4166b20062eaf978037c",
    trust_remote_code=False,
)

embeddings = extractor("Operating cash flow increased year over year.")

Sentence Transformers

from sentence_transformers import SentenceTransformer

model = SentenceTransformer(
    "sentence-transformers/all-MiniLM-L6-v2",
    revision="ea78891063587eb050ed4166b20062eaf978037c",
    trust_remote_code=False,
)

embeddings = model.encode(["Operating cash flow increased year over year."])

FinanceGPT task endpoint

The hosted route reuses the same bounded governed inference runtime and existing ml:inference scope.
POST /api/v2/model-hub/tasks/feature-extraction
Authorization: Bearer <token>

{
  "model": "transformer-financegpt-semantic-general-v1",
  "inputs": ["Operating cash flow increased year over year."]
}